RAG Developer

 RAG Developer


Develop and implement various RAG-based solutions, including GraphRAG, RAG with Knowledge Graphs - Neo4j, and vector databases (Chroma, FAISS, etc.), to create intelligent agents that optimize internal processes such as Research Assistant Copilots/Agents.

• Building agents capable of tool calling, including external web searches and advanced agentic RAG pipelines.



• Architected and led the design and development of Agentic RAG pipelines, including the creation of knowledge bases, agentic cleaning processes, and agentic retrieval with feedback loops, with a focus on ML architecture.

• Offering expert advisory services to teams, providing tailored algorithmic solutions and pipelines to tackle complex problems. Delivering strategic guidance, technical insights, and code-level explanations to drive informed decision-making and optimal results as a trusted external consultant.

• Actively contribute to the project by addressing technical challenges and sharing best code practices with the team (LangChain, LangGraph implementations for the project).

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