Role & responsibilities :

- 2+ years of hands-on experience in Agentic AI / Generative AI.

- Strong experience with LLMs, RAG, Prompt Engineering, AI Agents, and Agentic Workflows.

- Experience with Python and AI/ML frameworks.

- Hands-on experience with LangChain, LangGraph, or similar Agentic AI frameworks.

- Experience with LLM APIs, Vector Databases, Embeddings, and Knowledge Bases.

- Understanding of Multi-Agent Systems, Tool Calling, Function Calling, and AI Orchestration.

- Experience in developing and deploying scalable Gen AI solutions in enterprise environments.

- Design, develop, and deploy Generative AI and Agentic AI solutions for enterprise use cases.

- Build intelligent AI Agents and Multi-Agent Systems using LLMs and Agentic AI frameworks.

- Develop RAG-based applications using embeddings, vector databases, and enterprise knowledge sources.

- Implement tool calling, function calling, workflow orchestration, and autonomous agent capabilities.

- Integrate LLMs with enterprise applications, APIs, databases, and external tools.

- Design and optimize prompts, agent workflows, and LLM performance.

- Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable AI solutions.

- Ensure AI solutions are secure, reliable, scalable, and production-ready.

- Stay updated with the latest advancements in Generative AI, Agentic AI, LLMs, and AI frameworks.

Preferred candidate profile :

- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

- 8+ years of overall experience in software development, AI/ML, or data engineering.

- Minimum 2+ years of hands-on experience in Generative AI and Agentic AI.

- Strong programming skills in Python.

- Good understanding of LLMs, RAG, Prompt Engineering, Vector Databases, and AI/ML concepts.

- Experience with LangChain, LangGraph, or similar Agentic AI frameworks.

- Strong analytical, problem-solving, and communication skills.