Description

You will build and deploy agentic AI systems using Python and FastAPI, integrating LLMs with advanced orchestration frameworks.

This role is on-site.

Responsibilities

• Develop agentic workflows using LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel.
• Implement RAG pipelines with embeddings, chunking, and retrieval strategies.
• Integrate LLMs from Azure OpenAI, AWS Bedrock, or Google Vertex.
• Design multi-agent systems with planner, executor, and reviewer roles.
• Apply prompt engineering and context engineering for robust session management.

Required Skills

• 5+ years of professional experience with Python.
• Strong expertise in FastAPI for building APIs.
• Hands-on experience with Generative AI and Agentic AI patterns.
• Proficiency with MCP (Model Context Protocol).
• Experience with OpenAI, AWS, or Azure cloud services.
• Knowledge of vector databases (Pinecone, Weaviate, FAISS, pgvector).
• Understanding of multi-agent system architectures.

Preferred Skills

• Experience implementing Responsible AI guardrails.
• Familiarity with semantic kernel and complex persona/system prompt design.

Key Skills

Education

Bachelor's degree