Key skills
PythonLLMOpenAIRAGLangChainLangGraphBedrock
About this role
Role Overview
- 5 to 10 years of strong experience in Python development
- Hands-on experience with RAG (Retrieval Augmented Generation) architectures
- Experience working with Vector Databases (embeddings, similarity search, indexing)
- Good understanding of MCP (Model Context Protocol) or similar agent integration patterns
- Experience in Document Parsing & Extraction (PDF, structured/unstructured data)
- Building Document Ingestion Pipelines (loading → parsing → chunking → embedding → storage)
- Experience with Streaming APIs and SSE (Server-Sent Events) for real-time responses
- Implementation of Document Citation / Source Attribution in LLM responses
- Familiarity with LLM integrations (OpenAI / Bedrock / similar)
- Experience handling metadata, indexing, and retrieval optimization
Requirements
- 5 to 10 years of strong experience in Python development
- Hands-on experience with RAG (Retrieval Augmented Generation) architectures
- Experience working with Vector Databases (embeddings, similarity search, indexing)
- Good understanding of MCP (Model Context Protocol) or similar agent integration patterns
- Experience in Document Parsing & Extraction (PDF, structured/unstructured data)
- Building Document Ingestion Pipelines (loading → parsing → chunking → embedding → storage)
- Experience with Streaming APIs and SSE (Server-Sent Events) for real-time responses
- Implementation of Document Citation / Source Attribution in LLM responses
- Familiarity with LLM integrations (OpenAI / Bedrock / similar)
- Experience handling metadata, indexing, and retrieval optimization
- Good to Have: Experience with LangChain / LangGraph or similar frameworks
- Experience with chat/agent-based UI integrations
- Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related
Tech Stack
- Python