Key skills
PythonGenAILLMRAGLangChainLlamaIndexPineconeData Engineering
About this role
Role Overview
- Develop end-to-end RAG pipelines: ingestion, chunking, embedding, Pinecone indexing and retrieval
- Implement retrieval strategies including semantic search
- Build MCP connectors exposing system APIs as agent-callable tools (read and write)
- Contribute to agent orchestration: intent routing (RAG vs MCP vs workflow)
- Apply security controls and Authorization tokens
Requirements
- 5–8 years software/data engineering;
- 2+ years LLM/GenAI applications
- Strong Programming skills (Python);
- LlamaIndex and/or LangChain in production RAG systems
- Vector databases, Pinecone preferred
- MCP / tool-calling patterns; FASTMCP experience a significant plus
- Chunking strategies, overlap settings, metadata tagging
Tech Stack
- Python
Benefits
- Opportunities for professional growth and development.
- A collaborative and inclusive work environment.
- The chance to work on impactful projects with a talented team.
- Excellent compensation in USD.
- Hardware and software setup.