AI ML Python Developer

Overview

Design and develop scalable backend services and REST APIs using Python, and build production-grade Generative AI/LLM applications and services.

What you'll do

• Design and develop scalable backend services and REST APIs using Python, FastAPI, Flask, and Django.
• Build and integrate Generative AI/LLM-based applications, including RAG, AI agents, embeddings, and tool/function calling.
• Work with Azure OpenAI and other LLM providers.
• Use AI frameworks such as LangChain, LlamaIndex, LangGraph, or similar.
• Implement LiteLLM for LLM gateway, routing, fallback, and usage/cost management.
• Implement rate limiting, throttling, caching, retries, and API quotas for scalable services.
• Use Langfuse for LLM observability, tracing, prompt management, token/cost tracking, and evaluation.
• Design and work with PostgreSQL/MySQL, MongoDB, and Redis.
• Deploy and manage applications using Microsoft Azure, Docker, and CI/CD.
• Develop unit/integration tests, troubleshoot production issues, and optimize performance and cost.
• Participate in system design, code reviews, and technical architecture discussions.

What you'll need

• 5–7 years of software development experience with strong Python and backend development skills.
• Hands-on experience in Generative AI/LLM applications.
• Strong understanding of REST APIs, microservices, RAG, embeddings, vector databases, prompt engineering, AI agents, rate limiting, and distributed systems.
• Experience with Microsoft Azure, Docker, CI/CD, databases, Redis, API security, and cloud-native application development.
• Strong problem-solving, communication, and ownership.
• Ability to build production-grade AI solutions.

Nice to have

• Hands-on experience with Azure OpenAI, LiteLLM, and Langfuse.
• Exposure to LangChain, LlamaIndex, LangGraph, or similar AI frameworks.

Details

• Location: Ahmedabad, India — Ognaj (eInfochips).
• Employment type: Full time.
• Job category: Engineering Services.