Role & responsibilities Job Description Role: Associate Technical Architect (Software Development) Experience Level: 6 years and above Work location: Mumbai & Bangalore What you'll do: You will be working as a software architect within the healthcare domain, designing and delivering applications that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of full stack technologies, cloud services & DevOps. You will be working with Architects from other specialties such as cloud engineering, data engineering, ML engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others. Role & Responsibilities: We are looking for a software architect who is motivated to combine the art of design with programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works. Develop new user-facing features Develop scalable stateless or stateful API that integrate seamlessly with UI/Databases/3rd party clients Implement industry standard security best practices for the application development Build reusable code and libraries for future use Ensure the technical feasibility of UI/UX designs . Optimize application for maximum speed and scalability . Collaborate with other team members and stakeholders. Design Cloud native / cloud scalable applications. Skills expectation: Technical skills (Must haves) Ensure compliance of best practices and policies in software development Closely monitor code quality during implementation and be responsible for code reviews and deliverables Expert level understanding of software development design patterns Experience in Architecting large scale web/mobile/desktop microservices based/monolithic applications PRIMARY SKILLS NEEDED: NodeJS, Angular and React JS jQuery, JSON, AJAX, web services/REST, SQL. JavaScript frameworks like NodeJS, AngularJS, ReactJS, Jasmine or Ember etc., or JS-based build tools like Grunt, Gulp, and Bower. Deep understanding of client-side development, coding in HTML5 CSS3 JavaScript ES6 and jQuery. Strong experience using a client-side MVC framework such as NodeJS, React JS, NextJS, Redux, and AngularJS. Proficiency with databases including data modeling and query optimization (eg MySQL, Postgres, MongoDB, DynamoDB) Proficient understanding of cross-browser compatibility issues and ways to work around them. Design and construction of REST API and its security. Proven ability to develop and ship high quality software products in Agile development. Accountable for end-to-end delivery of software Proficient understanding of web markup, including HTML5, CSS3 Proficient understanding of code versioning tools preferably Git. Good understanding of SEO principles and ensuring that application will adhere to them. Top-notch programming skills and write code for robust software design. Experience in responsive design, cross-browser compatibility, and website performance. Experience in object-oriented design skills. Aggressive problem diagnosis and creative problem-solving skills. Good understanding of how browsers and DOM work. Knowledge of frontend CSS frameworks like Bootstrap, Material UI and preprocessors like SASS and LESS. Leadership Qualities: Provide thought leadership to the team and bring industry best practices to the project. Ability to lead technology teams and provide them mentorship / support to accelerate performance. Ability to handle conflicts effectively by managing internal and external stakeholders Experience in leading multiple large projects as well as a deep understanding of Agile developments Effective communication with all the stakeholders involved. communicate clearly about complex subjects and technical plans with technical and non technical audiences. Good to have: Knowledge of working on Cloud technologies like Google cloud platform/ AWS / Azure Experience of managing microservices driven architecture and orchestrate using API gateways Familiarity with tools such as Photoshop/illustrator/XD/Figmma/Sketch is a plus. Exposure to containerization and distributed computing Knowledge on Elasticsearch will be an added advantage End-to-end documentation (Technical Design Documentation) Exposure to operating in programming paradigms such as TDD, Pair Programming, Rapid Prototyping etc. Work effectively within different stages of the project from proposal to delivery and work within Budget and timelines set for the project. Ability to break down complex problems into actionable tasks. Need to Must also have the ability to interact with other members of the team (Juniors, Seniors, Architects ,Tech leads, BA, etc) to get their designs from concept to development Keeping various audiences in mind, must write their reports in clear language accessible to all Working knowledge of Apollo, GraphQL, Moment.js is an advantage. UX or UI designing experience is an advantage. Behavioral skills: Effective communication with all the stakeholders involved Need to communicate clearly about complex subjects and technical plans Provide thought process leadership and ability to learn and adapt to technology changes. Must also have the ability to interact with other members of the team (Juniors, Seniors, ATA, TA, BA, etc) to get their designs from concept to development Keeping various audiences in mind, engineer must write their reports in clear language accessible to all What is in it for you: Opportunity to work on market leading cloud services and how to utilize those services to solve various business problems Sponsored certification opportunity for various courses of your choice (eg, GCP, AWS, Azure, Tableau, Looker, etc) Working in a cross-functional team to design and implement enterprise solutions which are built using the latest technologies in data science, data engineering and cloud computing Steep learning curve and global exposure Dynamic work environment and energetic colleagues

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Support the planning and implementation of data flow design, provide sizing and configuration assistance. Assisting the Solution Architects on programs for transformations and modernizations of data solutions using Azure cloud data technologies. Write production quality code to deploy ML workflows in a distributed environment. Design and Build Azure Data Pipelines and Data StreamsDesign and build a hybrid data solution using a combination of on-premise and in-cloud services. Diagnose and troubleshoot complex distributed systems problems and develop solutions with a significant impact on our massive scale. Build tools to ingest and process terabyte-scale data on a daily basis. Communicate with a wide set of teams, including product owners, business analysts, data and enterprise architects, platform engineers, and cloud vendors, etc. Compilation of detailed design documents, technical specification documents, and test plans as required. Independently manage development tasks as per technical specification documents, prod deployment, post-prod support, etc Managing support to Unit Testing, SIT & UAT. Coordinate with business and support teams on testing and migration activities. Skills expectation: A strong hands-on knowledge of Spark/Pyspark. Expertise in writing SQL queries and performance optimization. Strong hands-on experience with a programming language like Python(preferred), java, or scala. Prior experience with working on cloud platforms like Azure(preferred) , AWS or GCP Prior experience of ADF is a plus. DataBricks experience is good to have. Data Warehouse: Snowflake or Synapse Design Dimensional Models for Data Warehouse and Data Marts. Knowledge of version control systems and build automation tools like Azure DevOps and/or MLOps Experience with operating system internals, file systems, disk/storage technologies, and storage Protocol If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Job Title: Associate Technical Architect - Generative AI Software Development Exp: 4-8years Location : Mumbai/Bangalore Job Description: We are seeking an Associate Technical Architect to design and develop scalable, AI-driven solutions that enhance developer productivity. This role requires deep expertise in system architecture, generative AI, cloud technologies, and Retrieval-Augmented Generation (RAG). You will lead technical decisions, collaborate across teams, and ensure robust, high-performance system design while rapidly prototyping and demonstrating AI capabilities. Key Responsibilities: System Architecture & Design: Architect and implement scalable, resilient, and secure AI systems using microservices, containerization (Docker, Kubernetes), and distributed computing principles. Ensure high availability, fault tolerance, disaster recovery, and cost efficiency. Scalable AI Agent Development: Design, build, and optimize generative AI agents that are scalable, flexible, and adaptable to diverse use cases. Implement memory management strategies to enable context retention across interactions and integrate external tools, APIs, and knowledge sources to enhance agent capabilities. Develop architectures that support large-scale AI-driven applications while maintaining performance and reliability. Rapid Prototyping & MVP Development: Demonstrate AI capabilities by quickly developing MVPs and showcasing real-time demos in an agile, iterative manner. Ensure rapid experimentation and continuous refinement of AI-driven features. RAG & Vector Databases: Implement and optimize RAG pipelines, evaluate vector databases (Pinecone, Weaviate, Chroma), and integrate external knowledge sources to enhance LLM performance. Scalability & Performance Optimization: Continuously evaluate and refine system architectures to improve response times, throughput, and efficiency. Optimize AI models for latency, cost, and computational performance. Team Leadership & Collaboration: Lead and mentor machine learning engineers, foster a collaborative development culture, and coordinate with cross-functional teams to ensure seamless AI solution integration. Technical Documentation & Best Practices: Maintain high-quality documentation of system architectures, APIs, and workflows, ensuring clarity and maintainability. Advanced Prompt Engineering: Develop and refine effective prompts to optimize AI outputs, experimenting with techniques like few-shot learning and chain-of-thought reasoning to enhance accuracy and contextual relevance. Key Skills & Qualifications: Proven experience in software development, system design, and architecting complex AI-driven systems. Expertise in scalable and distributed system architectures with strong problem-solving skills. Deep understanding of generative AI, AI agent development, memory management, and tool integration. Strong background in cloud technologies (Google Cloud Platform required). Hands-on experience with RAG, vector databases, and embedding techniques. Ability to collaborate across teams, lead engineering efforts, and drive technical innovation. Preferred Qualifications: Experience leading engineering teams and mentoring developers. Familiarity with Agile methodologies and MLOps best practices. Understanding of ethical AI considerations, including bias detection and mitigation. Contributions to open-source GenAI projects or research publications. If youre passionate about system architecture, generative AI, and building scalable, high-impact AI solutions, we encourage you to apply and be part of our team. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Notice period: Max 45 days Job Description Role: Sr. Conversation Bot Engineer Work location: Mumbai & Bangalore Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions. Required Skills: Experience in development of virtual agents (chatbots, voicebots) and natural language processing Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse. ai, Amazon Lex, Rasa, Luis, Kore. AI, Microsoft Bot Framework, IBM Watson, Wit. ai, Salesforce Einstein etc. Knowledge of one or more of the following technologies: Python, JavaScript or Node. js Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Strong written communication skills Ability to learn latest technologies Good problem-solving ability Nice to have skills: Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plus Experience in Test Driven Development & Agile methodologies Knowledge of creating an end to end pipeline for development of AI based conversational applications Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns Ability to write regular expressions for data cleaning and preprocessing Understanding of API integrations, Single-Sign-on and token-based authentication Develop unit test cases as per project specific standards Experience with HTTP, Sockets, REST and other web services Perform keyword and topic extraction from chat logs Knowledge of training and tuning topic modelling algorithms like LDA and NMF Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric Knowledge of frameworks like nltk and spacy Ability to write regular expressions for data cleaning and preprocessing If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role : Senior Specialist - Social Media & Brand Msrketing Strategy Experience Required : 5 to 10 Years Location: Mumbai (preferred) / Bangalore Work from Office: Hybrid (3 days / week) Key Responsibilities: Social Media Strategy & Execution: Responsible for executing Quantiphi s social media strategy from concept to implementation across platforms like LinkedIn, YouTube, Instagram, Twitter, and others, as aligned with brand strategy and business needs. Develop monthly/quarterly social media content calendars, ensuring a consistent posting cadence aligned with brand marketing and channel marketing strategies. Execute day-to-day social media activities, including moderating and responding to comments, engaging with audiences, and optimizing post performance through best practices such as tagging, hashtag use, and multimedia content. Monitor social media trends, leverage social listening techniques, and apply insights to optimize content strategies and audience engagement, ensuring a strong share of voice (SOV). Optimize post copy and assets for platform-specific audiences using SEO, hashtags, imagery, and video content. Brand & Talent Marketing: Assist in developing and optimizing Quantiphi s talent branding initiatives, collaborating with HR and Talent Acquisition teams to showcase company culture, values, and employee experiences. Work closely with internal teams and channel partners to coordinate and develop engaging social content that highlights Quantiphi s innovations, thought leadership, and key industry partnerships. Measure and analyze brand sentiment, competitor activities, and social media performance to enhance Quantiphi s market differentiation. Performance Tracking & Optimization: Create and present monthly and quarterly social media performance reports, tracking KPIs such as engagement, reach, and follower growth. Support the execution of digital marketing campaigns, including product launches, events, and industry announcements, ensuring alignment with engagement and visibility goals. Monitor evolving social media trends, analyze competitor strategies, and recommend content optimizations to enhance brand impact. Key Responsibilities: Bachelor s degree in Marketing, Communications, Business, or a related field. 6+ years of experience in a social media marketing role, preferably in B2B Tech, AI, ML, or Digital Engineering. Strong knowledge of social media strategy, content marketing, and digital branding. Great written and spoken communication with impeccable spelling and grammar Experience in creating and/or co-creating content and copy for online mediums including blogs, infographics, online videos, competitions, events, and more. Experience in talent branding, employer branding content, or employee advocacy programs. Ability to manage multiple stakeholders and collaborate across departments. Hands-on experience with social media management tools (e. g. , Sprinklr, Hootsuite, HubSpot) and analytics tools. Strong project management skills, with the ability to plan and execute campaigns efficiently. Understanding of SEO, social media optimization (SMO), and audience targeting best practices. Confidently provide strategic recommendations to enhance social media channel architecture, content, linking, and other elements to improve visibility and engagement. Why Join Quantiphi? Be part of an AI-first digital engineering company driving industry transformation. Work in a dynamic, innovation-focused environment that values creativity and strategy. Collaborate with cross-functional teams and industry leaders to execute high-impact social media and brand campaigns. Opportunities for career growth in a rapidly expanding organization at the forefront of AI and digital transformation. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

Job Role - Machine Learning Engineer Experience : 5 + Years Job Location : Bangalore/ Mumbai/ Trivandrum (Hybrid Working) As an Associate Architect - Machine Learning at Quantiphi, you will be working as an optimization specialist creating solutions using mathematical optimization and combinatorial optimization techniques to solve complex business problems. You will also be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability. Must have skills: 5+ years of relevant hands-on technical experience mathematical optimization techniques and implementing and developing cloud ML solutions on AWS. Experience in designing and implementing mathematical optimization models using Gurobi to address business challenges such as workforce scheduling, supply chain optimization, and resource allocation. Experience in utilizing combinatorial optimization techniques like branch and cut, branch and bound, and metaheuristics (e.g., genetic algorithms, simulated annealing) to solve discrete optimization problems. Must be able to analyze complex business problems and identify opportunities for optimization, applying combinatorial optimization methods to discrete problems. Experience in monitoring and analyzing the performance of optimization models, identifying areas for improvement. Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs. Implement and manage MLOps principles and best practices for ML architecture. Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc. Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc. Good to have skills: Experience in dynamic pricing, price promotion and price optimization. Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions. Experience with software development. Able to effectively design software architecture as required.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Must have Expertise in designing and developing an enterprise-level solution SAAS applications and REST APIs using MicroServices and demonstrable production-scale experience Understand Architecture Requirements and ensure effective design, development, validation, and support activities Full Stack development experience in ReactJS , serverless and containerized backend and exposure to development of solutions using python API s Understanding of core AWS services especially serverless service, and basic AWS architecture best practices and ability to use the AWS service APIs, AWS CLI, and SDKs to write applications Identify bottlenecks and bugs, and recommend solutions by comparing the advantages and disadvantages of custom development Testing design experience using specific unit testing tools for Python (e.g., Pytest, Unittest) and ReactJS (e.g., Jest, React Testing Library) Well-experienced to design encompassing testing and have good experience in Agile based development approach Should have good knowledge of SCSS, HTML5, CSS3,Material UI Good experience in designing & the interactions with transactional databases Strong git knowledge Should contribute conducting code reviews and identify & resolve production problems from the solution and interact with customer Maintain architectural documentation, technical designs, and development guidelines Should contribute to team meetings, troubleshooting development and take ownership for problem solving across across multiple environments and operating platforms Execute strong collaboration and communication skills within distributed project teams as well as potential to prioritize and multitask Good to have GenAI & ML solution design experience Experience incorporating GenAI and automation practices into SD lifecycle Exposure to development of data pipelines Exposure to UX design Exposure to DevOps best practices such as infrastructure as code and CI/CD pipelines Exposure to large scale digital transformation initiatives Knowhow of No SQL databases Others Good communication skills Ability to work with minimal supervision Effectively contribute to team meetings, ability to drive client meetings from a solution perspective If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Applied AI tech lead About Quantiphi R&D: Quantiphi s R&D has been integral to Quantiphi s evolution, consistently delivering breakthrough research that shapes how we solve real-world problems. We ve matured from early-stage innovation pilots to helping launch enterprise-grade platforms, filing 50+ patents, and contributing to top-tier AI publications. We don t just explore future AI we operationalize it. That maturity is what allows us to lead from the front in areas like generative AI, agentic workflows, life sciences, and digital twins. Through our efforts, we aim to enrich non-linear growth, add value to professional services, safeguard intellectual property, and cultivate robust relationships within the AI ecosystem. Role Overview: As an Applied AI Tech Lead in the applications team of the R&D team, you will drive the development of cutting-edge AI solutions, bridging the gap between research and real-world applications. You will lead a team of developers and engineers to experiment, prototype, and deploy AI-powered systems across diverse industry domains. Your role will be pivotal in ensuring that the team remains effective in AI innovation. Additionally, you will be hands-on in coding, problem-solving, and working alongside teams to develop AI solutions. Key Responsibilities: Lead and mentor a team of AI developers and engineers in the development of novel AI models and solutions. Oversee the end-to-end lifecycle of AI projects, from ideation and prototyping to deployment. Actively participate in coding, debugging, and optimizing AI models and solutions. Collaborate with cross-functional teams to integrate AI research into scalable products and solutions. Stay ahead of emerging AI trends and assess their feasibility for business impact. Contribute to intellectual property. Optimize and fine-tune models for real-world constraints such as efficiency, latency, and scalability. Engage with industry partners and internal stakeholders to define applied R&D roadmaps. Required Qualifications: Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 6+ years of experience in AI/ML research and applied AI development. Experience with generative AI, foundation models, or multi-modal AI systems. Hands-on experience in deploying AI models at scale in real-world environments. Proven ability to lead research initiatives, drive innovation, and manage technical teams. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Strong expertise in deep learning frameworks (TensorFlow, PyTorch) and AI model development. Contributions to AI research through papers, patents, or open-source projects. Strong software engineering skills in Python, cloud platforms (AWS, GCP, Azure), and MLOps. Familiarity with AI ethics, bias mitigation, and responsible AI principles. Why Join Us Be part of a high-impact, innovative R&D team driving AI advancements. Work on challenging AI problems with real-world applications. Opportunity to publish research, file patents, and shape the future of AI at Quantiphi. A dynamic and collaborative work environment that fosters continuous learning. If youre passionate about pushing the boundaries of AI and leading cutting-edge research, wed love to hear from you! Apply today and be part of our journey in redefining AI innovation. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Test Automation Engineer Experience Level: 2 -3.5 Years Location: Gurugram Notice Period :0-45 days Skill Set Needed: - Experience in ETL Testing - Hands-on experience on SQL - Experience with automation - Python scripting - QA Analysis Experience, including Test strategy and Test design, Test case execution & reporting - Data testing background using scripts, preferably Python - Experience in development of data intensive ETL based test scripts based on technical specifications/Data design documents and Source to Target mapping- Experience working in an agile environment - Experience in understanding various testing life cycle (end to end regression, automation, performance) - Experience using agile tool sets: Jira, Confluence, HPLM etc. - Strong analytical skills - Strong communication skills required for onshore-offshore engagement models

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Test Automation Engineer Experience Level: 4+ Years Work location: Bangalore/Mumbai NP - 0-30 days Role & Responsibilities: Have a strong understanding of all the phases of STLC Have a good understanding of different types of testing Involve in Manual Testing activities to meet sprint commitments. Involve in documenting Test Strategy & Test cases Work with Test Management tools like JIRA/VersionOne, QTest,etc. Log & Track defects to closure In-dept Work Experience in Manual & Automation testing is expected. Hands-on experience in Database testing and ETL testing skills. Hands-on experience in BI Report Testing(Validate data accuracy, report functionality, and visualization integrity) Hands-on experience in API Testing using SoapUI/Postman Experience in Performance Testing (Assess system scalability, response times, and load handling) Effectively communicate testing activities and findings in oral and written formats. Interact with the scrum team to understand the requirements and plan the QA activities. Effective communication with all the stakeholders involved. Required Skills: In Depth knowledge of all the phases of STLC BI Tools - Experience with Power BI, Tableau, or similar platforms Experience in Manual Testing & Automation Testing Experience in API Testing using SoapUI/Postman Experience in Data Validation/ETL Testing Ability to understand data mapping sheets and data models Good Understanding of SQL databases Experience in JMeter, LoadRunner, or similar. Knowledge of programming languages like Python, Java, or SQL for automation. Communication - Strong ability to document findings and collaborate with teams. Good Understanding of Test Management & Defect Management Proven experience as a QA Engineer in a cloud-based environment especially AWS. Exposure to AWS services (Dynamodb, S3, etc) would be a plus. Basic knowledge of Agile Ability to work independently and collaboratively in a fast-paced environment Strong problem-solving skills and a proactive attitude

Role : Senior Software Developer- Python, FastAPI Experience : 3 to 6 Years Work Location : Mumbai / Bangalore Overview: We are building scalable Agentic AI platforms, powering 50+ enterprise use cases using LLM-based agents. Were looking for a Senior Software Developer with strong backend (Python), DevOps, and AI integration skills to help build robust services, APIs, and front-end components that enable agent execution, orchestration, and user interaction. Job Responsibilities: Lead design and development of scalable backend services & APIs using Python and FastAPI. Optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases. Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis). Develop intuitive UI components for agent configuration & visualization (JavaScript and React). Structure and style internal interfaces effectively (HTML5, CSS3). Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents. Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone). Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling. Drive robust DevOps practices: expert Git, Docker, and CI/CD pipeline implementation. Promote agile methodologies, conduct code reviews, and maintain high-quality documentation. Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions. Job Requirements: Back-End Development (Required) - Expert in Python with production experience architecting and developing scalable backend services using FastAPI for high-performance RESTful APIs and WebSocket-based communication. Proficient in leveraging ORMs, designing robust relational database schemas (PostgreSQL, MySQL), and effectively utilizing caching mechanisms like Redis. Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform. DevOps & Software Engineering Practices (Required) - Expert in version control with Git and containerization using Docker. Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable. Proficient in agile development methodologies and conducting thorough, constructive code reviews. Front-End Development (Desired) - Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization. Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively. Good to Have Skills: AI/ML Integration - Proficiency in integrating LLMs (e.g., Azure OpenAI, HuggingFace Transformers, Nvidia NIMs) into complex backend systems and workflows. Strong practical understanding and application of prompt engineering techniques, designing and utilizing agentic frameworks (e.g., LangChain, LlamaIndex), and implementing effective tool calling mechanisms. Demonstrable experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including the selection and utilization of Vector Databases (e.g., Milvus, PGVector, Pinecone). Familiarity with MLOps principles and tools for model deployment and serving (e.g., NVIDIA Triton, KServe).

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Job Responsibilities: Agile Delivery Ownership - Drive end-to-end agile project execution using Scrum and/or hybrid agile frameworks. Organize and facilitate sprint planning, daily stand-ups, sprint reviews, retrospectives, and demos. Proactively identify and remove blockers that impact team velocity or delivery timelines. Stakeholder Customer Engagement - Coordinate closely with Product Managers, Engineering Leads, and Client Stakeholders to ensure alignment on sprint goals and deliverables. Ensure transparency by maintaining up-to-date burndown charts, sprint boards, and metrics dashboards. Team Empowerment Agile Coaching - Mentor cross-functional teams on Agile principles and continuous improvement practices. Cultivate team autonomy, ownership, and collaboration across AI engineers, ML experts, and platform teams. Quality and Process Excellence - Ensure adherence to delivery SLAs, sprint commitments, and customer satisfaction goals. Drive retrospectives to identify improvement areas and implement actionable changes. Job Qualifications: 3-5 years of experience managing Agile software delivery projects, with at least 2 years as a dedicated Scrum Master. Strong understanding of Agile/Scrum concepts, with hands-on experience using tools like JIRA, Confluence, Azure DevOps, etc. Ability to manage distributed teams delivering cloud-based AI/ML or data platforms. Excellent communication and stakeholder management skills, especially in customer-facing environments. Experience working in technology-led consulting, system integration, or product delivery setups. Preferred Qualifications: Scrum Master certification (CSM, PSM). Experience in AI/ML, GenAI, or cloud-native solution delivery. Exposure to working with large enterprise customers, preferably Fortune 500. Familiarity with CI/CD, MLOps, or modern DevOps practices. Background in managing engineering, data science, or product delivery teams.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Conversation Bot Engineer Work location: Mumbai & Bangalore Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions. Required Skills: Experience in development of virtual agents (chatbots, voicebots) and natural language processing Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex,Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. Knowledge of one or more of the following technologies: Python, JavaScript or Node.js Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Strong written communication skills Ability to learn latest technologies Good problem-solving ability Nice to have skills: Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plus Experience in Test Driven Development & Agile methodologies Knowledge of creating an end to end pipeline for development of AI based conversational applications Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns Ability to write regular expressions for data cleaning and preprocessing Understanding of API integrations, Single-Sign-on and token-based authentication Develop unit test cases as per project specific standards Experience with HTTP, Sockets, REST and other web services Perform keyword and topic extraction from chat logs Knowledge of training and tuning topic modelling algorithms like LDA and NMF Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric Knowledge of frameworks like nltk and spacy Ability to write regular expressions for data cleaning and preprocessing