3970 Openai Jobs - Page 10

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Python (Programming Language) Good to have skills : Generative AI Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are seeking a highly motivated and technically skilled GenAI & Prompt Engineering Specialist to join our Automation & Asset Development & Deployment team. This role will focus on designing, developing, and optimizing generative AI solutions using Python and large language models (LLMs). You will be instrumental in building intelligent automation workflows, refining prompt strategies, and ensuring scalable, secure AI deployments. Roles & Responsibilities: -• Design, test, and optimise prompts for LLMs to support use cases which benefit the infra & application managed services. • Build and maintain Python-based microservices and scripts for data processing, API integration, and model orchestration. • Collaborate with SMEs to convert business requirements into GenAI-powered workflows, including chunking logic, token optimisation, and schema transformation. • Work with foundation models and APIs (e.g., OpenAI, Vertex AI, Claude Sonnet) to embed GenAI capabilities into enterprise platforms. • Ensure all AI solutions comply with internal data privacy, PII masking, and security standards. • Conduct A/B testing of prompts, evaluate model outputs, and iterate based on SME feedback. • Maintain clear documentation of prompt strategies, model behaviors, and solution architectures. Professional & Technical Skills: • Strong proficiency in Python, including experience with REST APIs, data parsing, and automation scripting. • Deep understanding of LLMs, prompt engineering, and GenAI frameworks (e.g., LangChain, RAG pipelines). • Familiarity with data modelling, SQL, and RDBMS concepts. • Experience with agentic workflows, token optimization, and schema chunking. Additional Information: - The candidate should have minimum 5 years of experience in Python (Programming Language). - This position is based at our Noida office. - A 15 years full time education is required. 15 years full time education

Position Overview- We are looking for an experienced AI Engineer to design, build, and optimize AI-powered applications, leveraging both traditional machine learning and large language models (LLMs). The ideal candidate will have a strong foundation in LLM fine-tuning, inference optimization, backend development, and MLOps, with the ability to deploy scalable AI systems in production environments. ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients rely on us to transform their data into actionable insights. Key Responsibilities: Design and implement traditional ML and LLM-based systems and applications. Optimize model inference for performance and cost-efficiency. Fine-tune foundation models using methods like LoRA, QLoRA, and adapter layers. Develop and apply prompt engineering strategies including few-shot learning, chain-of-thought, and RAG. Build robust backend infrastructure to support AI-driven applications. Implement and manage MLOps pipelines for full AI lifecycle management. Design systems for continuous monitoring and evaluation of ML and LLM models. Create automated testing frameworks to ensure model quality and performance. Basic Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, or a related field. 4+ years of experience in AI/ML engineering, software development, or data-driven solutions. LLM Expertise Experience with parameter-efficient fine-tuning (LoRA, QLoRA, adapter layers). Understanding of inference optimization techniques: quantization, pruning, caching, and serving. Skilled in prompt engineering and design, including RAG techniques. Familiarity with AI evaluation frameworks and metrics. Experience designing automated evaluation and continuous monitoring systems. Backend Engineering Strong proficiency in Python and frameworks like FastAPI or Flask. Experience building RESTful APIs and real-time systems. Knowledge of vector databases and traditional databases. Hands-on experience with cloud platforms (AWS, GCP, Azure) focusing on ML services. MLOps & Infrastructure Familiarity with model serving tools (vLLM, SGLang, TensorRT). Experience with Docker and Kubernetes for deploying ML workloads. Ability to build monitoring systems for performance tracking and alerting. Experience building evaluation systems using custom metrics and benchmarks. Proficient in CI/CD and automated deployment pipelines. Experience with orchestration tools like Airflow. Hands-on experience with LLM frameworks (Transformers, LangChain, LlamaIndex). Familiarity with LLM-specific monitoring tools and general ML monitoring systems. Experience with distributed training and inference on multi-GPU environments. Knowledge of model compression techniques like distillation and quantization. Experience deploying models for high-throughput, low-latency production use. Research background or strong awareness of the latest developments in LLMs. Tools & Technologies We Use Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Serving: vLLM, TensorRT-LLM, SGlang, OpenAI API Infrastructure: Docker, Kubernetes, AWS, GCP Databases: PostgreSQL, Redis, Vector Databases We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

We're Hiring: AI Developer with OpenAI & Python Expertise Are you passionate about building intelligent systems and working with cutting-edge AI technologies like OpenAI’s GPT models? Join our fast-growing AI-focused team where we’re building the next generation of smart products across industries like gaming, betting, fintech, and more. What We're Looking For: We’re hiring AI Developers with experience in: Python frameworks : FastAPI, Flask, Django Machine Learning & Deep Learning : TensorFlow, PyTorch, scikit-learn LLMs & OpenAI : Hands-on experience with OpenAI GPT (3.5, 4, 4-turbo) APIs Experience building custom GPTs or AI assistants Understanding of function calling, tool use, prompt design, and system messages Prompt Engineering & Model Programming : Crafting efficient and task-specific prompts Fine-tuning and optimizing LLMs or integrating with vector databases like Pinecone or FAISS Good understanding of RAG pipelines , embeddings, and LLMOps practices Nice to Have: Experience in LangChain, LlamaIndex, or similar frameworks Familiarity with deploying models on cloud platforms (AWS, GCP, Azure) Prior work in building chatbots, agents, or AI-driven automation tools Who You'll Work With: A cross-functional, agile team of AI experts, engineers, and product managers Real-world projects with international clients A culture of learning, ownership, and innovation Location: Full-time / Contract-based roles available How to Apply: Send your CV, GitHub/portfolio links, and a brief note on your recent AI work to hr@softrefine.com. Let’s build the future of AI together. Job Types: Full-time, Permanent Pay: ₹12,790.55 - ₹60,351.20 per month Work Location: In person

LEAD DATA ANALYST Ahmedabad, India; Gurgaon, India; Hyderabad, India Data Management 316235 Job Description About The Role: Grade Level (for internal use): 08 The Team: The S&P Global Market Intelligence Content Customer Service Team (CCST) is committed to delivering exceptional and timely customer support across various teams, resulting in improved NPS scores. This proactive team addresses customer concerns related to data collection and curation methods, aligning with Accuracy, Timeliness, and Comprehensiveness goals. Within the Market Data domain, the team offers client support for Equity Pricing, Index, Commodities & Macroeconomics datasets. The Impact: Your role entails addressing client inquiries within Market Data datasets, comprehending their needs, and delivering optimal solutions. You will be working closely and collaborating with Level-I client support, data operations, data management, and product management to provide superior customer experience. If you possess innovative ideas and a strong inclination towards achieving top-notch customer satisfaction, we invite you to join us. Aligned with our data strategy, we are bringing our core customer query processes, traditionally sitting under individual datasets, under one roof! What’s In It For You: This position provides an opportunity to work with client support to directly influence the client experience. We seek a highly competitive and dynamic candidate who can perform under pressure and work creatively and collaboratively to achieve individual and team-specific benchmarks. If you admire a challenging environment & assignments and are determined to deliver business goals, then this role is for you. You’ll also have a chance to work on advanced analytics projects and cutting-edge Generative AI tools that are shaping the future of client engagement, operational intelligence, and support automation. Responsibilities: Decipher client questions and perform research to provide effective, well-documented solutions. Provide professional, timely, and quality support to customer queries. Deliver on expected productivity and timeliness targets. Provide quality (accurate and defect-free) responses with a "do it right the first time" mindset. Identify and flag areas that can impact business-as-usual operations. Contribute towards process improvement through root cause analysis. Help reduce client queries by drafting KB articles and identifying patterns. Take full ownership of client questions and liaise across teams for resolution. Independently manage client question workflows. Identify opportunities to enhance the client experience through data-backed insights. Recommend improvements to procedures and audits. Contribute to team training and mentorship efforts. Assist in ongoing projects and UATs with a focus on timeliness, accuracy, and execution excellence. Champion the voice of the customer and share insights and trends. Collaborate cross-functionally with product, sales, tech, and support teams. Leverage data and automation tools to drive proactive client service and process optimization. Apply Generative AI tools (e.g., ChatGPT, Azure OpenAI, Bard) to streamline responses, generate insights, or prototype support solutions. What We Are Looking For: Hands-on experience with Market Data datasets. Strong communication skills—both written and verbal. A client-first mindset with problem-solving ability. Familiarity with Capital IQ and/or Capital IQ Pro is a strong plus. Critical thinking, structured reasoning, and solution orientation. Strong sense of ownership and accountability. Ability to work independently and in collaboration with various teams. Attention to detail and high quality standards. Adaptability to changing priorities and tech environments. Ability to communicate technical insights in a clear, business-friendly way. Strong technical acumen and passion for using technology to solve client problems. A curiosity for innovation and eagerness to explore applications of GenAI in support workflows. Basic Qualifications: Graduate or postgraduate in Finance or an MBA. Advanced proficiency in MS Excel. Strong hands-on experience in technical skills — e.g., Power BI, SQL, Tableau, Python. Prior exposure to Generative AI technologies such as ChatGPT, Claude, Bard, or GitHub Copilot, and the ability to apply them in real-world problem solving (e.g., generating KB articles, automating responses, summarizing trends). Comfort working in a data-driven environment with ability to learn new tools quickly. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316235 Posted On: 2025-07-30 Location: Ahmedabad, Gujarat, India

E2M is not your regular digital marketing firm. We're an equal opportunity provider, founded on strong business ethics and driven by more than 300 experienced professionals.Our client base is made of digital agencies that need help with solving their bandwidth problems, cutting overheads, and increasing profitability. We need diligent professionals like you to help us help them. If you're someone who dreams big and has the gumption to make them come true, E2M has a place for you.We’re a growing White Label Digital Agency looking for a highly dynamic, experienced and enthusiastic Client Account Manager to join our highly energetic and passionate team. Job Profile The Client Account Manager must have IT Product/Service Division Experience and will be responsible for overseeing the client accounts in a growing agency environment. Duties include: Be the primary point of contact for E2M clients Work with clients to ensure they are finding value in our services Ensure exceptional customer experience Be a customer advocate while capturing customer feedback and reporting requests to Project Management and Development team Efficiently manage time to focus on essential activities to ensure customer satisfaction, account renewal, and account growth Develop and share best practices with team members to continually improve the quality, effectiveness, and efficiency of our processes Maintain a revenue base by managing account retention and renewal Overseeing the client's account from a delivery perspective. Providing strategic guidance to build relationships. Being a liaison between client and technical project managers, Account Managers. Flexible time management Coordinating with internal resources to ensure all objectives are achieved on time and on budget. Bringing creative solutions to operational challenges. Work cross-functionally with the larger to create a cohesive experience throughout a customer's lifecycle. Requirements 2-4 years experience at a creative, digital marketing, OR web design/development agency. Prior experience handling or delivering digital/web-based projects. Passion for great work, and the process + strategies to drive it. Knowledge of web technologies and digital marketing (no coding experience is required). Track record of managing successful web design and development projects. Reverence of multitasking as an art form. Clear, concise, direct communication style. History of client growth and profitability. Strength in building relationships across clients and internal teams. Vested interest in growing an agency and contributing to its culture. Experience in project management and collaboration software is a plus (Basecamp, ClickUp, etc.) Ability to work independently and in a strong team environment, and to deliver on detail as well as strategy. Proven track record working with Sales, Pre-sales and Account Manager to deliver client services effectively. Passion for technology and innovation. Excellent communication and presentation skills. Strong understanding of business processes and their implementation methodology. Prior experience working with North American clients across different time-zones Familiarity with or prior experience in AI services and tools such as ChatGPT, OpenAI, or other generative AI platforms is highly preferred. Ability to consult clients on the strategic use of AI tools in digital marketing, automation, and customer engagement. Interest in staying updated on emerging AI trends and their relevance to agency services. Essential Functions Take accountability and ownership of all client relationships (regardless of scale). Coordinate with internal team members to ensure project requirements, scope, and deliverables are understood and deadlines are met on time with consistency and accuracy. Regularly communicate with clients and provide best-in-class service to meet their needs. Proactively identify, manage, communicate, and mitigate risks to timing, scope and budget. Work with the sales team to create proposals, budgets, and timelines. Guide and direct solutions for any project-related issues that arise. Manage budgets and projects within our project management system (current software includes Basecamp and ClickUp). Monitor and proactively report financials for each client to senior leadership on regular basis Extremely attentive to detail. Job Type: Full-time Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Flexible schedule Health insurance Leave encashment Life insurance Paid sick time Provident Fund Work Location: In person

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Key Prerequisites  Experience in AI and Generative AI Development  Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP).  Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis.  Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT).  Experience in ingestion and cleaning of data  Feature Engineering and Data Engineering  Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets.  Experience in Model Training and Optimization  Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face.  Exposure to optimization of models for performance, scalability, and cost efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI).  Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise  OpenAI, Hugging Face  MLOps tools  Generative AI-specific tools and libraries for innovative applications. Technical Skills 1. Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. 2. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. 3. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). 4. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). 5. Solid understanding of databases (SQL, NoSQL) and big data processing tools (Spark, Hadoop).

Job Description TP4 Developer Key Responsibilities Generative AI Systems Design: Architect scalable, high-performance applications powered by Generative AI models (e.g., LLMs, diffusion models), with a focus on real-world usability and business integration. Prompt Engineering & RAG Pipelines: Design and implement optimized prompt strategies and Retrieval-Augmented Generation (RAG) workflows using LangChain and similar frameworks. Agentic AI & Autonomous Workflows: Develop and manage intelligent agents capable of multi-step reasoning, planning, and decision-making using frameworks like LangChain Agents or custom implementations. Vector Store Integration: Design and integrate vector databases for semantic search and document retrieval in GenAI workflows. End-to-End AI Application Development: Build and deploy AI-driven applications from scratch using Python and modern ML/AI toolkits. Ensure clean integration with APIs, databases, and frontend services. Microservices & API Development: Create modular, maintainable backend services using microservices architecture. Ensure RESTful APIs for smooth communication. CI/CD & DevOps: Develop and maintain CI/CD pipelines for model and app deployment. Ensure reproducibility, automated testing, and smooth rollout using tools like GitHub Actions, GitLab CI/CD, or Jenkins. Database Management: Use PostgreSQL and NoSQL databases effectively in storing structured and unstructured data, with focus on performance, indexing, and scaling. Performance Optimization: Continuously monitor, benchmark, and optimize applications for performance, scalability, and cost-efficiency across cloud and on-prem environments. Collaboration & Mentorship: Work closely with product managers, AI researchers, and junior developers. Lead by example and provide technical mentorship in AI system design and production-readiness. Required Qualifications Technical Expertise: Strong proficiency in Python (mandatory) and experience with AI/ML libraries like FastAI, Hugging Face Transformers, and OpenAI APIs. Experience implementing LangChain workflows, prompt chaining, agents, tools, and memory systems. Hands-on experience building RAG systems using vector DBs like FAISS, Pinecone, Weaviate, or Chroma. Solid understanding of Generative AI technologies (LLMs, image/video generation, embeddings). Working knowledge of Agentic AI concepts for building autonomous tools and applications. Backend & Architecture: Strong skills in system design, API development, and microservices-based backend architecture. Experience with PostgreSQL and NoSQL databases (e.g., MongoDB, DynamoDB). Cloud & DevOps: Familiarity with CI/CD pipelines, containerization (Docker), and cloud deployments (AWS/GCP/Azure). Git-based version control and collaborative development workflows. Communication & Leadership: Ability to translate AI research into production-ready applications. Strong collaboration skills and experience leading engineering efforts or mentoring peers. Preferred (Nice To Have) Experience working with LLMOps tools Exposure to data labeling, fine-tuning, or custom LLM training. Familiarity with streaming architectures or real-time AI inference.

Hi, We have a 6-month (possibilities of further extension) Contract requirement for AI Developer OFFSHORE REMOTE Europe time zone -Central European Time (CET). Working hours will be 5 am/ 5:30am/6 am to 2 pm/2:30 pm / 3 pm IST Position: AI Developer Duration: 6-month (possibilities of further extension) Annual Salary: DOE Work Location: REMOTE Required Experience: 5 yrs Primary Skills Knowledge of Python AWS Lambda AWS Bedrock Detailed JD as follows: 1. Prompt Engineering Techniques – Advanced Design effective prompts for large language models to optimize accuracy, reduce hallucinations, and guide reasoning using few-shot, zero-shot, and chain-of-thought approaches. Work with foundation models via APIs (e.g., OpenAI, AWS Bedrock) to build real-world applications across domains. 2. Generative Modeling Techniques – Intermediate Implement and experiment with generative models like GPT, BERT, or other Transformer-based architectures. Apply pre-trained models in NLP, content generation, or summarization tasks using platforms like Hugging Face or AWS Bedrock. 3. Agentic AI and Reinforcement Learning – Intermediate Understand and integrate basic agentic frameworks that combine reasoning, memory, and planning. Work with simulation environments (e.g., OpenAI Gym) and apply standard reinforcement learning algorithms for prototype development. 4. Building Responsible and Ethical AI – Intermediate Implement fairness-aware model evaluation and explainability practices using tools like SHAP or LIME. Follow best practices for privacy, bias mitigation, and governance in AI systems. 5. Cloud Deployment and MLOps – Intermediate Deploy AI models using AWS Lambda , AWS Bedrock , and SageMaker for serving and scalability. Participate in building MLOps pipelines and model versioning using MLflow or similar tools. 6. Machine Learning Frameworks (PyTorch/TensorFlow) – Beginner Train and fine-tune small-scale models using PyTorch or TensorFlow under guidance or for prototyping. Leverage existing models via transfer learning for quick deployment. 7. Data Preprocessing and Feature Engineering – Beginner Clean and transform raw data for modeling tasks. Perform exploratory data analysis (EDA) and develop basic feature extraction pipelines. 8. Containerization and CI/CD – Beginner Learn and assist in containerizing ML applications using Docker. Support implementation of CI/CD pipelines and Git-based workflow integrations.

React Developer Job Description Role Overview We’re an AI lab that cooks up fresh, intelligent web apps. We need a React developer who’s happy turning wild ideas and wireframes into living, breathing products. If you enjoy building slick UIs and tinkering with the latest AI SDKs, you’ll fit right in. What You’ll Be Doing Build Friendly Interfaces – Use React (components, hooks, the whole toolkit) to craft fast, responsive pages that feel great on any screen. Plug In the AI Magic – Connect our apps to AI APIs and SDKs (OpenAI, Claude, Gemini, you name it) so users get smart results in seconds. Reuse, Recycle, Repeat – Create modular components we can drop into future projects without starting from scratch. Team Up – Pair with designers, product folks, and backend engineers to ship features quickly and keep quality high. Speed Matters – Hunt down slow code and polish performance until everything zips along. Code with a Co‑Pilot – Use AI tools (your own fine‑tuned GPTs, Copilot, MCP‑style agents, etc.) to write, refactor, and test code faster. Stay Current – Keep an eye on new React features, state‑management tricks, and the next wave of AI frameworks—and share what you learn. Must‑Have Skills Solid JavaScript (ES6+) and modern React know‑how. Comfortable with state management (Redux, Zustand, or your favorite flavor). REST (or GraphQL) API integration, plus axios/fetch muscle memory. Git habits that keep history clean and teammates happy. Basic testing chops—Jest or similar—so bugs get caught early. Responsive design sense: Flexbox, CSS Grid, and a knack for “it just works” across devices. Familiarity with build tools (Vite/Webpack, Babel, npm/yarn) to keep bundles lean. Bonus Points TypeScript for safer, self‑documenting code. Next.js or another SSR/SSG framework experience. CI/CD know‑how to push code from commit to prod without drama. Hands‑on time with agent frameworks (think MCP‑style multi‑agent systems) or open‑source orchestration tools. Any AI side projects—show us a bot, an auto‑tester, or anything you’ve built with LLMs. Soft Stuff You communicate clearly, debug like a detective, brainstorm like a teammate, and laugh at the occasional dad joke. If that sounds like you, let’s chat and build the next big AI thing together. Job Types: Full-time, Part-time, Permanent, Internship, Contractual / Temporary, Freelance Contract length: 3 months Pay: ₹12,000.00 - ₹23,000.00 per month Benefits: Flexible schedule Work from home

Job Title: Senior Python Developer Location: Jodhpur Office (On-site) Company: Ebizneeds About Us: Ebizneeds is a technology-first company offering cutting-edge software solutions across various industries. With a strong presence in web and mobile app development, we empower our clients with robust, scalable, and intelligent technology systems. We’re now looking for a highly motivated Senior Python Developer to join our growing development team. Key Responsibilities: Design, develop, and maintain efficient, reusable, and reliable Python code. Lead backend development efforts for complex projects and ensure high performance and responsiveness to requests from the front-end. Collaborate with front-end developers, designers, and other team members to create seamless integrations. Implement data security and protection measures. Optimize applications for speed, scalability, and robustness. Review code, mentor junior developers, and enforce best practices. Work with databases like PostgreSQL, MySQL, or MongoDB. Integrate third-party APIs and create RESTful services. Utilize AI tools to enhance development efficiency and automation. Participate in sprint planning, requirement discussions, and client interactions when needed. Requirements: 4+ years of hands-on experience in Python development. Strong understanding of Django , Flask , or similar web frameworks. Experience with RESTful API design , ORM libraries , and unit testing . Proficiency with version control tools (e.g., Git). Solid knowledge of relational and NoSQL databases . Experience working with cloud platforms (e.g., AWS, Azure) is a plus. Familiarity with containerization (Docker) and CI/CD pipelines . Exposure to AI tools or libraries (like OpenAI, Langchain, etc.) for automation and smart application development. Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork skills. Good to Have: Experience with asynchronous programming (e.g., Celery, asyncio). Knowledge of frontend technologies like React or Angular is a bonus. Experience with Agile/Scrum methodologies. Salary: Competitive and based on experience. How to Apply: Send your resume and a brief introduction to hr@ebizneeds.com with the subject line: Application for Senior Python Developer – [Your Name] . Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹60,000.00 per month Work Location: In person

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

GenAI Solution Architect Responsibilities Design comprehensive architectures for GenAI applications utilizing Azure OpenAI LLM. Integrate RAG systems to enhance AI applications with contextually relevant data retrieval capabilities. Ensure solutions are scalable, cost-effective, and aligned with business objectives. Oversee the development and deployment of GenAI solutions on Azure. Coordinate with cross-functional teams including developers, client technical and business teams. Work closely with stakeholders to define technical requirements and business goals. Present complex technical information in a clear and concise manner to non-technical stakeholders. Requirements 10+ years experience with 5+ years of experience in AI and machine learning, with a strong focus on solution architecture. Should have hands-on experience in deploying at least one end to end GenAI project. Proven experience with Azure OpenAI LLMs and its application in enterprise environments. Hands-on experience with Retrieval-Augmented Generation (RAG) systems. Expertise in Azure cloud services and architecture. Strong programming skills in Python and familiarity with AI development tools and libraries. Knowledge of AI model training, fine-tuning, and deployment processes. Excellent problem-solving and analytical skills. Strong leadership and project management abilities. Effective communication and interpersonal skills.

About the Role We are seeking a highly motivated and creative Platform Engineer with a true research mindset. This is a unique opportunity to move beyond traditional development and step into a role where you will ideate, prototype, and build production-grade applications powered by Generative AI. You will be a core member of a platform team, responsible for developing both internal and customer-facing solutions that are not just functional but intelligent. If you are passionate about the MERN stack, Python, and the limitless possibilities of Large Language Models (LLMs), and you thrive on building things from the ground up, this role is for you. Core Responsibilities Innovate and Build: Design, develop, and deploy full-stack platform applications integrated with Generative AI, from concept to production. AI-Powered Product Development: Create and enhance key products such as: Intelligent chatbots for customer service and internal support. Automated quality analysis and call auditing systems using LLMs for transcription and sentiment analysis. AI-driven internal portals and dashboards to surface insights and streamline workflows. Full-Stack Engineering: Write clean, scalable, and robust code across the MERN stack (MongoDB, Express.js, React, Node.js) and Python. Gen AI Integration & Optimization: Work hands-on with foundation LLMs, fine-tuning custom models, and implementing advanced prompting techniques (zero-shot, few-shot) to solve specific business problems. Research & Prototyping: Explore and implement cutting-edge AI techniques, including setting up systems for offline LLM inference to ensure privacy and performance. Collaboration: Partner closely with product managers, designers, and business stakeholders to transform ideas into tangible, high-impact technical solutions. Required Skills & Experience Experience: 2-5 years of professional experience in a software engineering role. Full-Stack Proficiency: Strong command of the MERN stack (MongoDB, Express.js, React, Node.js) for building modern web applications. Python Expertise: Solid programming skills in Python, especially for backend services and AI/ML workloads. Generative AI & LLM Experience (Must-Have): Demonstrable experience integrating with foundation LLMs (e.g., OpenAI API, Llama, Mistral, etc.). Hands-on experience building complex AI systems and implementing architectures such as Retrieval-Augmented Generation (RAG) to ground models with external knowledge. Practical experience with AI application frameworks like LangChain and LangGraph to create agentic, multi-step workflows. Deep understanding of prompt engineering techniques (zero-shot, few-shot prompting). Experience or strong theoretical understanding of fine-tuning custom models for specific domains. Familiarity with concepts or practical experience in deploying LLMs for offline inference . R&D Mindset: A natural curiosity and passion for learning, experimenting with new technologies, and solving problems in novel ways. Bonus Points (Nice-to-Haves) Cloud Knowledge: Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker).

AlgoAnalytics is looking for a Data Scientist who has the passion for AI/ML solution development and cutting-edge work in Gen AI. Minimum 3 years of experience in AI/MI including Deep Learning, and exposure to Gen AI/LLM is required along with tools/techs/libraries like Agentic AI, Dify/Autogen, Langraphetc. Detailed understanding of Cloud technologies and Deployment with good hands-on experience is an added advantage. Key Responsibilities: AI/ML & Gen AI Development: Develop Gen AI/LLM models using OpenAI, Llama, or other open-source/offline models. Utilize Agentic AI frameworks and tools like Dify, Autogen, Langraph to build intelligent systems. Perform prompt engineering, fine-tuning, and dataset-specific model optimization. Implement cutting-edge research from AI/ML and Gen AI domains. Work on cloud-based deployments of AI/ML models for scalability and production readiness. Leadership & Mentoring: Troubleshoot AI/ML, Gen AI, and cloud deployment challenges. Mentor junior team members and contribute to their skill development. Identify team members for mentoring, hiring, and technical initiatives. Ensure smooth project execution, deadline management, and client interactions. Research & Innovation: Explore and implement recent AI/ML research in practical applications. Contribute to research publications, internal knowledge-sharing, and AI innovation. Qualifications: 2-3 years of hands-on experience in Machine Learning, Deep Learning, and Gen AI/LLMs. Bachelors/Masters degree in Computer Science, Engineering, Mathematics, or Statistics (with strong programming knowledge). Skills: Programming: Strong expertise in Python and relevant ML/AI libraries. AI/ML & Gen AI: Deep understanding of Machine Learning, Deep Learning, and Generative AI/LLMs. Agentic AI & Automation: Experience with Dify, Autogen, Langraph, and similar tools. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps deployment pipelines. Communication & Leadership: Strong ability to manage teams, meet project deadlines, and collaborate with clients. Note - We would prefer Pune based candidates. Candidates joining immediately will be preferred.

About VWO VWO is a leading Digital Experience Optimization platform trusted by over 3,000 businesses in 100+ countries, including global brands like Samsung, Vodafone, Toyota, HBO, and Domino's. What began 15 years ago as one of the world’s first A/B testing tools has since evolved into a comprehensive, enterprise-grade platform used by product, marketing, and growth teams to experiment, personalize, analyze behavior, and build exceptional digital experiences. Today, VWO offers a full-stack suite for A/B testing, multivariate testing, feature rollouts, heatmaps, session recordings, behavioural analytics, surveys, personalization, and more across web, mobile, and server-side applications — all in one unified platform. We enable teams to make confident, data-driven decisions that drive user engagement, retention, and conversion. VWO is a profitable, founder-led business with $50M+ ARR, strong EBITDA margins, and a history of capital-efficient, sustainable growth. In January 2025, Everstone Capital acquired a majority stake in the company to help accelerate our global expansion — both organically and inorganically. We are a fully remote team of 450+ people, with go-to-market teams across the Americas, Europe, and APAC, and product and engineering anchored in India. Our culture values deep thinking, fast execution, and strong ownership — with minimal bureaucracy and high autonomy. Despite our scale, we continue to operate with the agility and ambition of a startup. Wingify is a product-led tech company on a mission to build intelligent, performance-driven solutions at the forefront of digital experience and AI innovation. We believe in ownership over execution, curiosity over credentials, and building systems that push boundaries in how software interacts with intelligence. We're looking for a Lead Full Stack Engineer who thrives at the intersection of end-to-end engineering and GenAI innovation. If you’re passionate about building both systems and products that harness AI meaningfully—this is the role for you. 🧩 What You’ll Do Architect, design, and deliver scalable full-stack features and systems end-to-end—across backend services, APIs, and frontend interfaces. Build AI-integrated systems (e.g., NLP automation, GenAI assistants, recommendation engines) using LLMs and GenAI APIs in production environments. Mentor and lead a high-performance team of engineers, establishing best practices in architecture, testing, and DevOps. Own performance, maintainability, and scalability across your projects and ensure long-term code health. Collaborate cross-functionally with Product, Design, and Data teams to align on product direction and technical strategy. Stay hands-on with code , lead architectural decisions, and contribute to critical reviews and deployments. 🛠️ Must-Have Skills 6–10 years of experience in full-stack development roles with a product-focused mindset. Strong proficiency in two or more backend languages : PHP, Node.js, Golang, Python, Java. Expert in JavaScript/TypeScript with deep knowledge of modern frameworks— React or Angular preferred. Demonstrated experience integrating GenAI APIs (OpenAI, Langflow, custom GPT agents) in real-world applications. Strong understanding of software architecture , system design , and microservices . Solid DevOps exposure: Docker , Kubernetes , CI/CD pipelines (e.g., Jenkins). Proficient in SQL and NoSQL databases. In-depth knowledge of browser internals , rendering optimization, and frontend performance strategies. Experience with TDD , code quality enforcement, and unit test coverage. 🎯 Bonus Points Led a team through an AI-first product transformation . Contributed to open-source AI/ML tools or active in AI/engineering communities. Experience with Langflow , vector databases (e.g., Pinecone, Weaviate), or custom GPT integrations . 🌍 Why Join Us Build software that blends product and intelligence . Work in a culture where engineers shape product direction . Experiment with bleeding-edge AI and GenAI tech . Join a team that prioritizes impact, autonomy, and growth .

Advanced Medical Expertise Sought for AI Training About Outlier Outlier is the world’s leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Medical experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Medicine. Develop and answer Medical-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: MBBS or higher in Medicine or a related field. Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Medical experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance.

Opportunities: Pay ranges from 80,000 - 1,0,000 INR / Month Full-time remote or work-from-home Sydney Australian Time Zone (Day shift) Health Insurance Career Growth About the Role : We’re hiring an AI Developer who is highly skilled in Natural Language Processing (NLP), Machine Learning (ML) , and building applications with Large Language Models (LLMs) and RAG architectures . You’ll also support automation using no-code tools like n8n , helping us streamline and scale real estate workflows across sales, marketing, and client engagement. Key Responsibilities: Build, fine-tune, and deploy LLMs for real-world use-cases: document Q&A, lead qualification, customer support agents. Implement RAG pipelines using tools like LangChain , LlamaIndex , or custom Python stacks. Design NLP workflows for text classification, entity extraction, summarisation, and search . Work with vector databases (FAISS, Pinecone, Weaviate) to support semantic search. Integrate AI pipelines with APIs and internal tools. Build modular, scalable automation workflows using n8n . Connect AI services (OpenAI, Claude, Cohere) to tools like HubSpot, Airtable, Notion, Slack, CRMs , etc. Use HTTP request nodes, webhooks, and logic control within n8n to orchestrate intelligent automation. Deploy AI apps using FastAPI , Docker , and host on AWS/GCP with CI/CD workflows. Support backend integration with external APIs and services for full-stack deployment. Collaborate with non-technical teams to enable automation of manual workflows. Key Skills & Qualities: 3–5 years of hands-on experience in AI/ML and NLP development . Strong Python skills with exposure to LangChain, Transformers, or OpenAI SDKs . Experience building and deploying RAG systems in real-world settings. Understanding of embedding models, vector search, and prompt engineering. Solid experience with n8n (or similar like Zapier, Make) to create production-ready workflows. Ability to connect APIs, configure triggers, and automate AI pipelines via no-code tools. Knowledge of databases (SQL/NoSQL) and integration with automation tools. Good problem-solving skills and attention to detail. Note: Please ensure you meet the essential requirements before applying. Technical Requirements: Windows 11 operating system or macOS 13+ 256GB storage space - minimum 16GB RAM - minimum Dual Core CPU - minimum Camera: HD Webcam (720p) Headset: Noise-cancelling (preferably) Internet Speed: 50 Mbps - minimum About The Company Freedom Property Investors is the largest and number one property investment company in Australia, with our main offices in the Sydney and Melbourne CBDs. We were awarded the 3rd fastest-growing business in Australia across all industries according to the Australian Financial Review. We are privileged to have served over 10,000 of our valued members and are home to over 300 full-time staff spread across Australia and growing. We pride ourselves on being the industry leaders. It is our mission to provide the highest level of service to our valued members, earning over 2,131 positive Google reviews and a 4.8-star rating, which is unheard of in our industry. We are in need of people who share the same values as we do. This opportunity is open to all driven individuals who are committed to helping people and earning life-changing income. Join Australia’s largest and number 1 property investment team and contribute to our mission of helping everyday Australians achieve their goals of financial freedom. Apply now!!!

Dear All, We are seeking a highly capable Machine Learning Engineer with deep expertise in fine-tuning Large Language Models (LLMs) and Vision-Language Models (VLMs) for intelligent document processing. This role requires strong knowledge of PEFT techniques (LoRA, QLoRA), quantization , transformer architectures , prompt engineering , and orchestration frameworks like LangChain . You’ll work on building and scaling end-to-end document processing workflows using both open-source and commercial models (OpenAI, Google, etc.), with an emphasis on performance, reliability, and observability. Key Responsibilities: Fine-tune and optimize open-source and commercial LLMs/VLMs (e.g., LLaMA,Cohere, Gemini, GPT-4) for structured and unstructured document processing tasks. Apply advanced PEFT techniques (LoRA, QLoRA) and model quantization to enable efficient deployment and experimentation. Design LLM-based document intelligence pipelines for tasks like OCR extraction, entity recognition, key-value pairing, summarization, and layout understanding. Develop and manage prompting techniques (zero-shot, few-shot, chain-of-thought, self-consistency) tailored to document use-cases. Implement LangChain -based workflows integrating tools, agents, and vector stores for RAG-style processing. Monitor experiments and production models using Weights & Biases (W&B) or similar ML observability tools. Work with OpenAI (GPT series) , Google PaLM / Gemini , and other LLM/VLM APIs for hybrid system design. Collaborate with cross-functional teams to deliver scalable, production-ready ML systems and continuously improve model performance. Build reusable, well-documented code and maintain a high standard of reproducibility and traceability. Required Skills & Experience: Hands-on experience with transformer architectures and libraries like HuggingFace Transformers. Deep knowledge of fine-tuning strategies for large models, including LoRA , QLoRA , and other PEFT approaches. Experience in prompt engineering and developing advanced prompting strategies. Familiarity with LangChain , vector databases (e.g., FAISS, Pinecone), and tool/agent orchestration. Strong applied knowledge of OpenAI , Google (Gemini/PaLM) , and other foundational LLM/VLM APIs. Proficiency in model training, tracking, and monitoring using tools like Weights & Biases (W&B) . Solid understanding of deep learning , machine learning , natural language processing , and computer vision concepts. Experience working with document AI models (e.g., LayoutLM, Donut, Pix2Struct) and OCR tools (Tesseract, EasyOCR, etc.). Proficient in Python , PyTorch , and related ML tooling. Nice-to-Have: Experience with multi-modal architectures for document + image/text processing. Knowledge of RAG systems , embedding models , and custom vector store integrations. Experience in deploying ML models via FastAPI , Triton , or similar frameworks. Contributions to open-source AI tools or model repositories. Exposure to MLOps , CI/CD pipelines , and data versioning. Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Why Join Us? Work on cutting-edge GenAI and Document AI use-cases. Collaborate in a fast-paced, research-driven environment. Flexible work arrangements and growth-focused culture. Opportunity to shape real-world applications of LLMs and VLMs.

Sr. Software Engineer (SDE-2) DViO is one of the largest independent, highly awarded, tech-first marketing companies with a team of 175+ people operating across India, Middle East and South East Asia. We are looking for a Senior Software Engineer (SDE-2) to join our team. The ideal candidate will have a strong background in software development and experience with both frontend and backend technologies. We are looking for someone who is also passionate about solving challenging problems through code and is looking to grow in this field. Responsibilities Lead technical design sessions, establish coding standards, and conduct code reviews. Contribute hands‑on to feature development, refactoring, and performance improvements. Mentor and upskill junior engineers through pair programming, feedback, and structured learning plans. Maintain and evolve our deployment pipelines on our cloud stack. Oversee ETL workflows and ensure data freshness, integrity, and observability. Integrate and optimize AI capabilities within the product. Collaborate closely with Product and Design to translate requirements into robust technical solutions. Champion best practices in testing, security, and documentation. Requirements Qualifications: Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. 4–6 years of professional software development experience, including ≥1 year mentoring or leading engineers. Strong computer‑science fundamentals in data structures, algorithms, and system design. Deep understanding of object-oriented/functional design and relational databases. Proficiency in one or more modern web stacks and comfort navigating both backend and frontend codebases. Proven ability to balance delivery speed with long-term maintainability; strong written and verbal communication skills. Must-have skills: Backend: Proficiency in at least one of Python, Node.js, PHP, Go, or Java; experience with an MVC or equivalent framework. Frontend: Proficiency in React, Next.js, Vue, or Angular; deep knowledge of HTML5, CSS3, and modern JavaScript/TypeScript. APIs & Data: Designing and consuming RESTful APIs; working with Relational databases (MySQL, PostgreSQL, etc.). Containers & Cloud: Docker‑based development and deployment; basic familiarity with AWS, GCP, or Azure services; CI/CD using GitHub Actions, GitLab CI, or similar. Quality & DevEx: Unit/integration testing, Git‑based workflows, and peer code reviews. Good‑to‑Have Skills Practical experience integrating LLM APIs (OpenAI, Anthropic) into applications, including prompt design and cost/performance considerations. Hands‑on experience with data engineering, ETL pipelines, and warehouse querying; comfort debugging data issues. UI component libraries (shadcn/ui, Chakra UI, Radix UI) and CSS frameworks (TailwindCSS, Bootstrap). Data‑visualization libraries (D3.js, Chart.js, Recharts). Caching (Redis, Memcached) and search systems (Elasticsearch, Meilisearch, Typesense). Data warehouses or lakes (Snowflake, BigQuery, Redshift) and SQL performance tuning. Bash scripting and strong Linux system knowledge.

We are seeking an experienced Generative AI Developer with strong Python skills and proven hands-on experience building and deploying AI/ML models . In this role, you will work on designing, developing, and deploying innovative Generative AI solutions that create real business impact. You’ll contribute at every stage — from research and prototyping to production deployment. Key Responsibilities: Design, build, and deploy AI/ML models, with a strong focus on Generative AI (e.g., LLMs, diffusion models). Develop robust Python backend services to support AI applications in production. Integrate AI/ML models with scalable APIs and pipelines for real-world use cases. Optimize model performance, accuracy, and inference speed for production workloads. Experiment with model fine-tuning, prompt engineering, and dataset curation. Monitor deployed models and ensure smooth operation and updates. Collaborate with product managers, data scientists, and engineers to translate business needs into AI solutions. Document processes, maintain code quality, and follow best practices for reproducibility and scalability. Required Skills & Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or related field. Strong proficiency in Python and relevant frameworks (FastAPI, Flask, Django). Hands-on experience building, training, and deploying AI/ML models into production. Familiarity with Generative AI frameworks (Hugging Face Transformers, LangChain, OpenAI APIs, etc.). Good understanding of NLP, LLMs, and modern AI techniques. Experience with RESTful APIs, cloud services (AWS/GCP/Azure), and CI/CD workflows. Excellent problem-solving, debugging, and troubleshooting skills. Ability to work independently and deliver reliable results on time. Excellent communication and teamwork skills. Job Types: Full-time, Permanent Pay: ₹700,000.00 - ₹1,500,000.00 per year Benefits: Cell phone reimbursement Health insurance Internet reimbursement Leave encashment Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you immediate Joiner? Experience: Python: 3 years (Required) Gen AI: 1 year (Required) Work Location: In person

Key Responsibilities: Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel. Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection). Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops. Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management. Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments. Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability. Monitor and refine agent performance using logging, observability tools, and feedback signals. Required Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation. Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn). Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers). Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems. Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems. Preferred Skills: Familiarity with multi-agent frameworks and agent orchestration design patterns. Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction. Background in human-in-the-loop systems, active learning, or interactive AI workflows. Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search.

🌟 We're Hiring: Artificial Intelligence Consultant! 🌟 We're seeking a highly motivated and technically adept Artificial Intelligence Consultant to join our growing Artificial Intelligence and Business Transformation practice. This role is ideal for a strategic thinker with a strong blend of leadership, business consulting acumen, and technical expertise in Python, LLMs, Retrieval-Augmented Generation (RAG), and agentic systems. Location: Remote (Contract to Hire/ 1 Year Renewable) ⏰ Work Mode: Work From Home 💼 Role: Artificial Intelligence Consultant Roles And Responsibilities AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction. Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks. LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB). Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines. Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives. Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact. Thought Leadership: Conduct market research, stay updated with the latest in GenAI and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings. Essential Skills Education: Bachelor's or Master’s in Computer Science, AI, Engineering, or related field. Experience: Minimum 5 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions. Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact. Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains. Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models. LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration. Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments. Preferred Skills Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP — including compute instances, storage, managed services, and serverless/cloud-native deployment models. Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design. Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub. Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB. LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines. MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes). Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter-service communication. Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development.

Position Overview Technocrats Horizons is looking for a highly motivated and skilled Business Development Executive (BDE) with proven expertise in selling AI development services and solutions , particularly through online bidding platforms like Upwork, Freelancer, and other freelance marketplaces. The ideal candidate should have a deep understanding of AI/ML technologies, excellent communication skills, and a strategic mindset to generate high-value leads and convert them into successful, long-term business relationships. This role is perfect for individuals who are passionate about AI-driven innovation , sales, and business growth in the IT and AI services domain. Job Role: Business Development Executive (BDE) – AI Solutions & Bidding Specialist Job Location: Remote Experience Required: 1–3 Years Responsibilities Online Bidding: Regularly bid on platforms such as Upwork, Freelancer, Guru, etc., with a focus on AI/ML, data science, and related technology projects. Proposal Writing: Understand client requirements specific to AI solutions and write tailored, technically sound, and persuasive proposals. Client Communication: Initiate conversations with potential clients to understand their business challenges and position AI services as viable solutions. Lead Generation: Identify and qualify new leads in AI domains like predictive analytics, computer vision, NLP, chatbot development, and automation. Requirement Gathering: Work closely with AI engineers and solution architects to scope requirements and provide accurate project estimates. Sales Pipeline Management: Maintain a structured pipeline of AI project bids, conversations, follow-ups, and conversions. Target Achievement: Meet monthly and quarterly targets related to AI project acquisition and lead conversion. Collaboration: Act as a bridge between clients and internal AI/ML technical teams to ensure accurate delivery post-closure. Reporting: Maintain logs of bidding and sales activities with regular reporting on outcomes and insights. Behaviour and Character Attributes Required Goal-Oriented: Strong drive to meet revenue goals by focusing on high-value AI projects. Tech-Savvy Communicator: Able to grasp technical details and convey AI concepts clearly to non-technical clients. Accountable: Takes full ownership of the pre-sales lifecycle, from bidding to closing. Analytical Thinker: Identifies industry-specific challenges that AI can solve and proposes smart solutions. Persistent & Resilient: Embraces feedback and constantly improves sales strategy in a competitive AI landscape. Self-Motivated: Proactively drives tasks with minimal supervision. Professional Attitude: Maintains a confident and respectful tone during international interactions. Must-Have Skills AI Sales Experience: Prior experience in selling services like AI model development, ML solutions, computer vision, NLP, or automation. Bidding Expertise: Hands-on experience with Upwork, Freelancer, Guru, etc., with a focus on technical and AI projects. Proposal Writing: Ability to draft solution-oriented, business-driven proposals tailored to AI projects. Client Communication: Excellent English communication with a consultative approach to understand and solve client pain points. AI Awareness: Working knowledge of AI technologies, use cases, benefits, and limitations. Lead Conversion: Proven ability to close deals in AI service verticals. Presentation Skills: Ability to develop pitch decks or capability documents around AI solutions. Good-to-Have Skills LinkedIn Outreach: Experience with generating AI project leads through LinkedIn Sales Navigator and other outbound strategies. CRM Familiarity: Experience using CRMs like HubSpot, Zoho, or Pipedrive to manage AI-specific sales pipelines. Market Research: Ability to analyze industry trends and discover areas where AI can be implemented. Email Campaigns: Exposure to cold emailing and lead nurturing in AI product or service environments. Tech Stack Knowledge: Familiarity with AI tools, frameworks, and cloud platforms (e.g., TensorFlow, OpenAI APIs, AWS AI services) is a plus. Education Qualification Required Graduation: B.Tech/B.E., BCA, BBA, or any graduate with a background in IT or Business. Post-Graduation: MBA in Marketing/IT, MCA, or any relevant PG qualification with exposure

🧩 *About the Role* We are looking for a Fractional AI Agentic Solutions Architect with deep healthcare experience to help design and implement intelligent automation workflows around Eligibility Verification and Pre-Authorization . You will leverage platforms like Workato , Azure , Epic/Cerner , and Availity , while incorporating LLMs and modern agent orchestration strategies to streamline payer-provider workflows. As a fractional contributor, you'll work on high-impact sprints with product, automation, and revenue cycle teams to rapidly deliver and iterate solutions. 📌 *Key Responsibilities* Lead automation discovery, solution design, and agentic architecture for healthcare workflows. Build and optimize no-code/low-code automation flows using Workato, Azure Logic Apps, or similar tools. Integrate EMRs/EHRs (Epic, Cerner) and payer platforms (Availity, PVerify) via secure APIs and FHIR. Leverage OpenAI or Azure OpenAI APIs to power conversational agents and workflow triggers. Create MVP prototypes, document reusable logic, and train internal teams for continuity. Participate in standups or sprint planning for engagements when needed. Provide guidance on best practices for compliance, data handling, and automation testing. 🧠 *Required Skills & Experience* 5+ years in healthcare technology, automation, or API-based systems integration. Proven success in delivering automation projects in fractional or consulting capacity. Familiarity with eligibility verification (270/271), prior auth workflows, and EHR APIs. Hands-on with Workato, Azure, or similar integration platforms. Experience with LLM-based orchestration or intelligent agents a strong plus. Strong communication skills and client-facing experience in agile teams. ⭐ *Preferred Qualifications* Workato Pro I/II or Azure Integration Architect certified Prior experience with RevOps or Patient Access use cases Exposure to clinical workflows or payer-side systems Familiar with SaaS delivery or digital health startup models 🛠️ *Tech Stack* Workato, Azure Logic Apps, Python Epic/Cerner APIs, Availity, PVerify FHIR, HL7, REST/JSON OpenAI, LangChain, Postman, GitHub Notion, Slack, Jira for async collaboration

Frontend Engineer (Bangalore) 📍 Location: Bangalore, in-person only 💰 Salary: 20L – 40L annual + 📈 Equity (founding-engineer tracks available) ⌛ Experience : 3+ years in frontend (Backend Experience will be a plus point) 💻 Skills : TypeScript, React, Tanstack, UI Libraries (Tailwind, Shadcn), Testing (Integration and performance optimization), LLM Frameworks(AI SDKs), GCP/AWS/Azure, Websocket, RPCs About the role As a Frontend Engineer at Runable , you’ll play a key role in shaping the user-facing layer of our general automation platform. You’ll work closely with our backend and infra teams to build fast, intuitive, and resilient interfaces that abstract away system complexity and deliver seamless AI-powered automation to our users. What You'll Do LLM & Agent Services: • Build intuitive interfaces to interact with multi-agent workflows using LangChain, LangGraph, OpenAI SDK, etc. • Design frontend components that support real-time AI orchestration , multi-step flows, and streaming responses Frontend Development & UI Engineering: • Develop rich, performant web apps using React , TypeScript , Tailwind , and component libraries like Shadcn • Integrate and support document viewers and editors for Excel , PDF , Markdown , and more • Build cross-platform experiences with React Native + Expo for mobile use cases Cloud & DevOps: • Deploy and manage infrastructure on GCP, AWS, or Azure using Terraform • Author CI/CD pipelines for seamless delivery and rollback Experimental Innovation (15–20% time): • Explore cutting-edge LLM fine-tuning, memory architectures, and new agent frameworks What we are Looking For 3+ years of frontend engineering experience Proficiency in React and TypeScript , plus some backend and infra knowledge Experience integrating and building rich document views — including Excel , PDF , and Markdown , with editing support Exposure to mobile app development using React Native + Expo Hands-on experience with LLM frameworks (LangChain, OpenAI SDK, etc.) and multi-agents Familiarity with popular UI libraries like Tailwind , Shadcn , and state/data tools like TanStack Query Strong UI/UX sensibility with a deep understanding of user behavior , flow design, and intuitive interactions Expertise in networking , load-balancers , and high-performance remote connections Familiarity with Terraform/OpenTofu , CI/CD , and cloud platforms (GCP/AWS/Azure) Excited to work in-person from our Bangalore office in a fast-paced, collaborative environment Job Task (To filter who is not excited enough to try new things, it's a cool task those who loves frontend will love this challenge) https://runable.notion.site/frontend-engineer-task?source=copy_link