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.

Skills

API, LangChain, LlamaIndex, Python, REST