Role Overview

We are seeking an experienced Python/Gen AI Engineer with 5 to 7 years of experience to join our team. This role requires expertise in building and deploying production-grade Generative AI applications, focusing heavily on orchestration frameworks, RAG pipelines, and integration with cloud AI services.

Responsibilities

Develop and maintain production-grade applications using Python.
Implement orchestration frameworks such as LangChain or LlamaIndex for agentic workflows.
Integrate and consume services from Azure OpenAI.
Design and develop robust REST API endpoints.
Utilize Redis for session and context management within agentic workflows.
Implement and integrate various Vector databases (e.g., Pinecone, Azure AI Search, Qdrant).
Production implementation of NL-to-SQL techniques within agentic pipelines.
Design and build comprehensive RAG engines, including embedding, retrieval, and context injection pipelines.
(Good to Have) Implement feedback loop and self-learning pipelines for continuous model improvement.

Requirements

5 to 7 years of professional experience.
Expertise in production-grade Python development.
Proven experience with orchestration frameworks like LangChain or LlamaIndex.
Experience integrating with Azure OpenAI.
Strong background in REST API development.
Familiarity with Redis for state management.
Hands-on experience with Vector databases (e.g., Pinecone, Azure AI Search, Qdrant).
Demonstrated ability to implement NL-to-SQL solutions in production environments.
Deep understanding of RAG engine architecture and implementation.