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Location: Remote (India-based preferred) Team Collaboration: Work closely with the tech team based in Bangalore Engagement: Part-time to Full-time Transition Compensation: Significant Equity + Lean Salary (until funding) Timeline: 3–6 Month Probation → Co-Founder Elevation → CTO About SeoByte.ai SeoByte.ai is a new AI-first SEO venture under ThinkByte.ai , focused on reimagining how businesses scale through search. We’re combining AI agents with SEO expertise to build tools that deliver results—not just reports. We currently offer Human+AI SEO services to startups, SMBs, and agencies, and have already built the first version of our AI-powered SEO SaaS platform (now in closed beta). We're looking for a tech co-founder to take this foundation and evolve it into a scalable, product-first business. Why This Role Matters You're stepping in as a builder and technical leader with equity from Day 1 You’ll work closely with an existing tech team in Bangalore to improve and expand the platform You'll have the opportunity to shape the core architecture , build scalable systems, and grow into the CTO role as the company raises capital and expands What You'll Own 🛠️ Product & Engineering Drive development of V1 → V2 and subsequent versions of our AI SEO platform Architect AI workflows (RAG, content agents, optimization layers) for full SEO automation Integrate AI models, APIs, and third-party tools to optimize performance Build for scale: multitenancy, analytics, dashboards, onboarding, etc. 🚀 Leadership & Strategy Collaborate with the founding team on product and go-to-market direction Lead future hiring, code quality, and dev processes Work with early customers to gather feedback and iterate rapidly Contribute to investor discussions and fundraising narrative as technical co-founder You Might Be a Fit If You Have: Proven full-stack experience (SaaS product background preferred) Familiarity with AI/LLM workflows (OpenAI, LangChain, Pinecone, vector DBs, etc.) Strong fundamentals in system design, API architecture, backend frameworks, and scalable infrastructure Experience shipping MVPs and iterating in fast-moving startup environments Based in India (preferred) and excited to build remotely with a Bangalore-based dev team Bonus: Past experience with growth tools, marketing tech, or SEO platforms What You'll Get Co-founder equity with vesting from Day 1 (standard 4-year schedule) Early access to customer feedback and real usage data Support from a team that’s already executing and generating results The chance to own and shape a product in one of the most rapidly evolving AI markets Backing from ThinkByte.ai , an AI-first growth company with deep domain knowledge

Join the Team That's Redefining Wireless Technology You will work on the development, integration, and testing of software modules on multi-core processing platforms in fixed broadband access systems. The primary focus of this position comprises the control plane and connection management functions for layers 2 & 3 on both ends of an access link running Tarana’s proprietary 5G protocol. Specifically, this position is targeted at developing and testing parts of the MAC layer of Tarana’s fixed wireless access system including radio resource control, scheduling, QoS, and network entry, but depending on need and skills can also target parts of the networking stack. Job Responsibilities: Development of protocol state machines, algorithms, and test frameworks Implementation of modules on a C++ /Linux system Integration and debugging on complex hardware platforms Performance optimization of wireless communication systems Required Skills & Experience: B.E/B.Tech (CS/EE/EC) OR M.E/M.Tech/ MS (CS/EE/EC) preferred 1 - 3 years of development experience Experience with C++ 11/14/17 and Python Highly desired skills: Experience with one or more of: L2/L3 protocols, wireless networks, OFDM, and MIMO Experience with RTOS, multi-core software development, and embedded systems Experience with version control systems (Git) Knowledge of networking protocols (TCP/IP) and Internet architecture Please note: HackerRank code test will be required as part of the process. Join Tarana and help shape the future of wireless connectivity About Us Tarana’s mission is to accelerate the deployment of fast, affordable internet access around the world. Through a decade of R&D and more than $400M of investment, the Tarana team has created a unique next-generation fixed wireless access (ngFWA) technology instantiated in its first commercial platform, Gigabit 1 (G1). It delivers a game-changing advance in broadband economics in both mainstream and underserved markets, using either licensed or unlicensed spectrum. G1 started production in mid-2021 and has since been embraced by more than 250 service providers in 19 countries and 41 US states. Tarana is headquartered in Milpitas, California, with additional research and development in Pune, India. Visit our website for more on G1.

Customer Support: Responding to user inquiries via phone, email, or chat, providing guidance and solutions for software-related issues. Issue Diagnosis and Resolution: Identifying the root cause of software problems, providing step-by-step instructions or workarounds to resolve them. Escalation: Collaborating with other teams (developers, QA) to resolve complex or recurring issues, ensuring timely and satisfactory solutions. Documentation: Maintaining detailed records of issues, solutions, and user interactions in a ticketing system or knowledge base. Software Testing and Updates: Participating in testing new software versions or updates and assisting with the implementation of patches or fixes. User Training and Guidance: Providing training and support to users on new software features or functionalities. System Monitoring: Monitoring software performance, identifying potential issues, and proactively addressing them.

As an agile Flutter Developer, you will be doing the system study, analyzing the requirements, building up the logic and writing codes; developing DB structures, and binding them to the I/O layers with APIs; conduct testing with your codes and take it to final deployment. You will be required to document the developments and maintain the source codes in the GIT branches. Experience 2 - 4+ years Responsibilities ⦁ Develop and maintain web applications using various technologies such as PHP, Node.js, Angular, HTML, CSS, jQuery, Python and Flutter. ⦁ Collaborate with cross-functional teams including product management, UX designers, and QA to deliver high-quality web applications. ⦁ Participate in the Agile development process including Sprint planning, retrospectives, and daily stand-ups. ⦁ Experience in Azure Devops. ⦁ Develop and maintain RESTful Web Services using JSON and other formats. ⦁ Develop and maintain Full stack code using Node.js, Python, PHP, Angular, HTML, CSS, jQuery and Flutter. ⦁ Work with database schema and queries using NOSQL and RDBMS(MongoDB,MYSQL, PostgreSQL,etc). ⦁ Execute manual and automated test scripts over the required test cases to ensure high quality and error-free code. ⦁ Implement the required code quality and security checks using various tools to maintain the code in Grade-A condition. ⦁ Push the App, Troubleshoot and debug issues in production and non-production environments. ⦁ Continuously improve the development process by implementing best practices, tools, and techniques. Required Skills: ⦁ Bachelor's degree in Computer Science or related field. ⦁ 2+ years of experience in Flutter App development. ⦁ Strong development skills in Node.js, PHP, and Python. ⦁ Proficiency in App development using HTML, CSS, JQuery, Angular, Dart and Flutter. ⦁ Experience with Front end frameworks like Vue.js,React.js,tailwind css,etc are an added advantage. ⦁ Experience with MYSQL,PostgreSQL, or Mongo DB. ⦁ Experience with RESTful Web Services using JSON. ⦁ Familiarity with WebSocket, Gulp, Grunt, npm. ⦁ Experience with Devops and CI/CD pipelines. ⦁ Familiarity with version control systems such as Git/SVN. ⦁ Strong analytical and problem-solving skills. ⦁ Good communication and interpersonal skills. ⦁ Ability to work collaboratively with cross-functional teams in an Agile environment. Job Type: Full-time Pay: ₹250,000.00 - ₹350,000.00 per year Benefits: Health insurance Ability to commute/relocate: Arasur, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: Flutter: 2 years (Required) Work Location: In person

Job Description: AI Engineer - Generative AI Company:- Focalworks Solutions Pvt Ltd. Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer A competitive salary and performance bonus. Comprehensive health insurance. Flexible working hours and a hybrid work model. A budget for professional development, conferences, and certifications. The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to rahul.narwade@focalworks.in , with the subject line " Application for AI Engineer ".

Role: Research & Insights Lead Designation: Consulting Manager/Associate Director (based on fitment) Team: Executive Comp and Board Advisory Business: Human Capital Consulting Location: Gurgaon/Mumbai Education & Experience Post-Graduate with 6 to 10 years of relevant experience MBA from tier-1, tier-2 schools is an advantage Experience in large research projects and surveys is required (comprising both primary and secondary research) Program / Project management skills working in a peer environment will be preferred About AON Aon is in the Business of Better Decisions Our world is changing. Uncertainty has become the new constant in a world that is increasingly volatile and where new business models are rising and falling at an ever-increasing speed. With this change comes a pressing need for businesses to make important decisions more often. Some will be easy, others difficult. There’ll be some that may seem small, but all have the potential to have a profound impact. At Aon, we partner with our clients to help shape business decisions for the better. We are not tied to a traditional way of doing things. That is why we can best prepare organizations to manage the challenges of the volatile world in which we now live. We give our clients the clarity and confidence to make better decisions that protect and grow their businesses. About Human Capital Solutions Aon's human capital business, spanning 2,000 colleagues in more than 30 countries, is home to the firm's rewards, talent assessment, and performance & analytics practices. We apply this expertise, and our market-leading workforce data, to help clients tackle transformational projects. Aon’s rewards practice, including the McLagan and Radford survey platforms, provides industry-focused compensation insights to more than 7,000 clients each year. We also advise clients on the design of executive, employee, and sales compensation plans in markets around the globe. About Executive Comp And Board Advisory Practice The Executive Comp and Board Advisory practice addresses critical Performance, Rewards, and Talent Issues concerning Boards and Executive Management levels: Integrated executives pay, governance, and equity lifecycle support Aligning pay and performance because establishing an appropriate link between the two is what matters most to your people and shareholders Best-in-class data assets that go beyond the Top 5 and provide a consistent framework to evaluate other layers of executive management Deep sector expertise allowing us to understand the business issues and find solutions that work within the context of our competitive landscape Collaborative approach between the advisor, compensation committee, and management, understanding that effective solutions can’t be achieved unless all stakeholders are active participants in the process Overview Role Responsibilities We are looking for a high-caliber individual to join the Executive Comp and Board Advisory at Aon India in the Research & Insights Function. This role will serve as the central content engine of the business - building and refining core IP, owning and automating data-to-insight flows, and enhancing the quality of project delivery. It is a high-impact and critical position, with direct visibility to leadership and ownership of our strategic narrative frameworks. The role holder will be expected to engage with client delivery teams (industry and technical experts along with counterparts focused on client delivery in the EBA team) to define the agenda for the R&I team in line with the market demands. The technical know-how around executive remuneration and Board / NRC workings is not a prerequisite for the role; however, exposure into advising boards will be a plus. You will be expected to develop a strong understanding of relevant laws and regulations pertaining to executive compensation and share-based compensation (e.g., relevant sections of Companies Act, SEBI Regulations on Share-Based Payments etc.) and be up to date with any changes. You will be expected to own the Data and Research engine for the team. This will include ownership of marquee studies (Exec Remuneration, STI/LTI study etc.) and drive research agenda for the team. This will include both primary and secondary research. Efficiency of time and resources for the research will also be an agenda for the role. Indicative KRAs Will Include Develop, maintain, and grow proprietary compensation frameworks, models, and data benchmarks Collate and analyze disclosure, SEBI filing, and peer company practices from primary and secondary sources to create insight-rich summaries Collaborate with Technical teams, Industry Teams, and Delivery team to identify relevant research and insight priorities Work toward efficiency of time and resources, especially in data collation and collection Own the internal knowledge management system Additional Responsibilities Develop the R&I team Acquire the required skillset for the team through multiple employment / partnership routes Skills & Experience Research experience in running long to mid-size B2B research and surveys Understanding of primary and secondary data collection processes Technical know-how to drive efficiency in data collection process (especially secondary data collection) Ability to work with peers in a collaborative manner to achieve research objectives Project / Program management expertise Modelling and data-based storytelling Technical skillset and know-how of DBMS, Power BI, and other relevant tools Detail orientation, structured thinker 2555322

Job Description: AI Engineer - Generative AI Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Linkedin Connect/Mail We are glad that to inform you that we have a job opening for the position of “ AI Engineer - Generative AI ” for our company location Vashi ,Navi Mumbai, Below is the details for the same. Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. If interested you can share your Updated resume at Rahul.narwade@focalworks.in with below required job opening:_ Total Yrs of Experience Relevant Yrs of experience AI Engineer :__ ; Python__YRS ; NumPy:__YRS, Pandas__YRS ; LLMs Frameworks:__YRS ; LangChain:-___YRS or LlamaIndex :-__YRS what is the current CTC:___LPA What is Expected CTC:-__LPA Notice Period:_-___ Reason for change:- Current Location:- Available to work at our office location(Vashi Navi Mumbai location):- __ How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Job Type: Full-time Pay: ₹1,200,000.00 - ₹4,000,000.00 per year Schedule: Day shift Work Location: In person

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Engineer- DFM located in Chennai. What a typical day looks like: Doing DFM analysis in PCBA and fabrication analysis in PCB. Analysis of testability and generate DFT report. Simulation mechanical assembly process and create DFA report Creating DFx procedure and check list as per customer requirements Generating DFx reports according to findings, observations as per standards. Work with customer and internal manufacturing team to define DFx requirements and rules. Ensure adherence to targets set for all Process Metrics Ensure timely generation and circulation of DFx Reports to stakeholders. Mentor the team and guide them towards effective deliverables. Train new and existing team members on an ongoing basis on relevant software and tools. Perform root cause analysis to expedite the resolution of service issues. Prepare KPI Reports for Weekly / Monthly for operation review. Skilled in PCBA process, such as: Stencil, Solder paste printing, SMT, wave-soldering, assembly, box build. Should have very good knowledge in IPC standards. Knowledge in PCB fabrication process, PCB layers, PCB design and electronics component packages in all levels. Able to define DFx procedures and check lists Knowledge in PCBA Test development process such as ICT, FCT , Flying Probe Test etc. Knowledge in DFx tools and hands on experience in DFM module software such Vayopro, Valor NPI , Solidworks etc Knowledge in 3D designs of product and simulation of product assembly process. Aptitude to work with a multi-functional team to define requirements and suitable metrics for the performance of new products and process. Knowledge & direct experience in NPI operations and manufacturing engineering. Able to perform root cause analysis and resolve problems Experience with Continuous Process Improvement, Kanban and Lean manufacturing principals. Flexibility and adaptability to work in a dynamic startup environment Work with other engineering team members to improve existing design or Process. The experience we’re looking to add to our team: Minimum 4-7 years’ experience in DFx methodologies, PCBA DFM process, DFT and DFA analysis. B. Tech (Elec / Electronics), Diploma (Elect / Electronics) Knowledge of MS office and MS outlook Excellent written and oral communication skills MANDATORY. Good analytical skills. Coaching & mentoring skills. Conflict resolution. Reporting & Decision-making skills. Open for night Shift Here are a few examples of what you will get for the great work you provide: Paid Time Off Health Insurance MR03 Site Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

About Us At Elephant in the Boardroom , we combine strategic thinking, creativity, and technology to solve digital challenges and drive growth for brands across the globe. With offices in Australia, Philippines & India we deliver innovative digital solutions through web development, digital marketing, data analytics, and design. We're seeking a GTM Specialist with a strong analytics foundation to join our Chennai team and power our data-driven digital strategies. Role Overview As a Specialist – Data Analytics (GTM Expert) , you will be the go-to person for implementing and managing tracking strategies across client websites and campaigns using Google Tag Manager . You will lead the end-to-end process from tag implementation to conversion tracking, funnel analysis, and reporting. This role includes client-facing responsibilities and direct reporting to the Marketing Head . Your insights will directly influence decision-making across digital campaigns, customer journeys, and marketing performance . If you're an expert in GTM with a sharp analytical mindset, we want to hear from you. Key Responsibilities Own the implementation and management of Google Tag Manager (GTM) across all client websites and digital platforms. Set up custom tags, triggers, variables, and data layers to support advanced tracking needs. Collaborate with marketing and development teams to implement tracking pixels (Google Ads, Meta, LinkedIn, etc.) and event tracking. Ensure accurate and consistent data flow into analytics platforms like Google Analytics 4 (GA4) , CRM tools, and ad platforms. Perform journey and funnel analysis to understand user behavior and optimize digital touchpoints. Support campaign performance reporting and build dashboards using tools like Power BI, Looker Studio, or Tableau. Use SQL, Excel , and scripting languages (e.g., Python or R) to extract and interpret data for decision-making. Ensure tracking compliance with data privacy regulations (GDPR, CCPA, etc.). Must-Have Skills Minimum 3-4 years of experience in a data analytics or digital tracking role, with a strong focus on Google Tag Manager (GTM). Proficient in setting up GA4 event tracking, custom dimensions, and enhanced ecommerce tracking via GTM. Strong hands-on experience with web analytics tools, especially Google Analytics (GA4). Excellent understanding of tracking implementation across marketing platforms (Google Ads, Meta, LinkedIn, etc.). Solid knowledge of SQL and data manipulation in spreadsheets or BI tools. Experience with data visualization tools like Power BI, Looker Studio, or Tableau. Good communication skills to explain technical tracking concepts to non-technical stakeholders. Nice to Have Experience working with CRM tools (HubSpot, Zoho, Salesforce) Familiarity with server-side GTM setup and tagging strategies for cookie-less tracking Basic knowledge of JavaScript and web development principles Why Join Us? At Elephant in the Boardroom, we value innovation, integrity, and collaboration. You'll work in a cross-functional environment with global exposure and the opportunity to contribute to high-impact digital strategies. We believe in empowering our team members, offering a supportive environment where your skills will shape the success of both our clients and our company. To Apply: Send your resume and cover letter to hrindia@elephantintheboardroom.co.in

Job Summary: We are seeking a detail-oriented and proactive Hybrid QA Engineer to join our team. This role involves 70% manual testing and 30% automation, focusing on ensuring product quality across various platforms and features. You will work closely with developers, product managers, and other QA team members to plan, design, and execute test strategies that cover both functional and non-functional requirements. Key Responsibilities: Design, develop, and execute manual test cases based on product requirements, specifications, and user stories. Perform regression, functional, integration, and exploratory testing across web, mobile, and backend systems. Collaborate with developers and product managers to understand features and identify potential risks early in the development cycle. Contribute to and maintain automated test scripts for regression testing (around 30% of your time). Participate in bug triage, root cause analysis, and defect tracking using tools like JIRA. Ensure test coverage for UI, API, and backend layers as needed. Provide clear and concise documentation of test plans, results, and QA status. Support continuous integration and delivery (CI/CD) by integrating automated tests into pipelines. Work closely with the QA team to improve test processes, tools, and frameworks. Requirements At least 4 to 6 years of experience in software testing, with a solid background in manual testing. Hands-on experience with test case design, execution, and bug reporting. Basic to intermediate knowledge of test automation tools such as Playwright. Familiarity with scripting languages (Typscript) for test automation. Experience with API testing tools (e.g., Postman, REST Assured). Understanding of Agile methodologies and working in Scrum or Kanban teams. Excellent analytical and problem-solving skills and writing document Strong communication and collaboration skills. Experience with test management tools (e.g., TestRail, Zephyr) and version control (e.g., Git) is a plus. Nice to Have: Experience testing cloud-based applications (e.g., AWS, Azure). Performance or security testing knowledge. Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!