Description

You will build and deploy agentic AI applications using Python and advanced LLM frameworks.

This role is on-site.

Responsibilities

• Develop and maintain Agentic AI solutions using CrewAI, LangGraph, or similar frameworks.
• Implement RAG pipelines, vector databases, and embedding models for intelligent retrieval.
• Build and host backend services using FastAPI.
• Optimize prompts and integrate LLM inference servers.
• Create POCs and troubleshoot complex AI integration issues.

Required Skills

• Python (5+ years experience).
• Hands-on experience with CrewAI, LangGraph, Agnos, Google ADK, MS Autogen, or Gemini Enterprise.
• Strong knowledge of GenAI, LLMs, and AI/ML frameworks.
• Experience with LangChain, RAG, Vector DBs, and Embedding models.
• Proficiency in FastAPI backend development.
• Understanding of prompt engineering, caching, and rerankers.
• Ability to work independently and collaborate with AI teams.

Preferred Skills

• Experience with Responsible AI, Guardrails, and security best practices.
• Proven track record of building and deploying AI POCs.

Key Skills

Education

Any Gradute