Develop generative AI applications and agentic workflows using Python, LLMs, RAG, vector databases, and frameworks such as LangChain, LangGraph, and LlamaIndex. Build AI agents integrating APIs, tools, databases, and enterprise services. Develop FastAPI REST APIs, apply machine learning libraries, optimize prompts and model performance, evaluate responses, detect hallucinations, and secure AI-generated code. Collaborate within SDLC and Agile development practices.
AI Developer (2–7 Years Experience) Required Skills • 2–7 years of hands-on experience in AI/ML, Generative AI, or related software development. • Strong programming experience in Python and familiarity with AI/ML development frameworks and libraries. • Strong understanding of Generative AI concepts, Large Language Models (LLMs), and Transformer-based architectures. • Hands-on experience with LLMs such as GPT, Azure Open AI or similar open source/commercial models. • Experience building GenAI applications using frameworks such as LangChain, LangGraph, LlamaIndex, or similar frameworks. • Strong understanding of Agentic AI concepts, including AI agents, tool calling, planning, reasoning, memory, and multi-agent workflows. • Experience developing AI agents and integrating external tools, APIs, databases, and enterprise services. • Experience with Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and document-based question answering. • Understanding of prompt engineering, prompt optimization, structured outputs, function/tool calling, and context management. • Experience with REST API development using FastAPI or similar frameworks. • Experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar frameworks. • Understanding of machine learning concepts including supervised and unsupervised learning, model evaluation, feature engineering, and model optimization. • Understanding of LLM evaluation, hallucination detection, response quality, and AI application performance optimization. • Experience in prompt engineering with AI-powered developer tools such as GitHub Copilot, Cursor AI, Claude Code, Windsurf, or similar coding assistants. • Experience with AI-assisted development and Vibe Coding practices. • Ability to review, validate, optimize, and secure AI-generated code. • Good understanding of SDLC and Agile development methodologies.
Hexaware Technologies Chennai, Tamil Nadu, IND Office
MCN Nagar Ext, MCN Nagar Extension, Thoraipakkam, Chennai, Tamil Nadu, India, 600097
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
