Sr. GenAI Developer (Python)

This role builds the core agentic infrastructure orchestration engine, RAG pipelines, prompt templates, API layer, and self-learning feedback loops for a reusable, cross-organization agentic AI platform.
Responsibilities:
Build the orchestration engine for agentic workflows, including prompt template implementation, tool-calling, and dynamic routing.
Develop and maintain the RAG engine embedding, retrieval, and context injection across multiple data sources.
Implement feedback loops and self-learning pipelines for continuous accuracy improvement.
Develop REST APIs to connect orchestration layers to model endpoints and downstream services.
Build NL-to-SQL pipeline components within the agentic platform.
Requirements:
Good to have, maybe hard to find combined: Feedback loop and self-learning pipeline implementation for continuous model improvement.
Must-Have:
Python development, REST API development.
LangChain or LlamaIndex orchestration framework implementation.
Azure OpenAI integration and consumption.
Redis session and context management within agentic workflows.
Vector database implementation and integration (e. g., Pinecone, Azure AI Search, Qdrant).
NL-to-SQL technique production implementation within agentic pipelines.
RAG engine design and building embedding, retrieval, and context injection pipelines.

Experience
5-6 yrs