Python Developer

Job Title: Python AI Engineer (Generative AI)

Experience: 69 Years

Location: Indore / Pune / Bengaluru

Notice Period: Immediate joiners

Employment Type: Full-Time

About the Role

We are seeking a highly skilled Python AI Engineer to build and deploy scalable, production-grade Generative AI applications. The ideal candidate will have strong experience in Python backend development along with hands-on exposure to LLMs, RAG systems, and agentic AI workflows.

You will work on cutting-edge GenAI solutions integrating vector databases, Azure Cloud, Databricks, and modern AI orchestration frameworks.

Key Responsibilities

• Design, develop, and deploy advanced LLM-powered and agentic AI solutions using Python.
• Build and optimize RAG pipelines including ingestion, embeddings, retrieval, and vector database integration.
• Develop AI agents with tool usage, multi-step reasoning, and workflow orchestration.
• Integrate AI services into applications using FastAPI, Django, or Flask.
• Build secure REST APIs, async workers, and SDK-based clients.
• Collaborate with cross-functional teams to design conversational and agentic flows.
• Monitor AI system performance using A/B testing, structured evaluation, and telemetry-driven analysis.
• Optimize AI performance for correctness, reliability, and grounded responses.
• Develop reusable AI components and scalable pipelines.
• Ensure data privacy, security, and responsible AI practices.
• Utilize Databricks or open-source frameworks for scalable GenAI workflows.

Mandatory Technical Skills

• Strong Python programming experience (scalable backend systems & APIs)
• Hands-on experience with:
• LangChain / LangGraph (or equivalent)
• RAG architectures
• Vector databases
• Agentic AI patterns & tool integrations
• LLM prompting & grounding techniques
• Experience building applications using:
• FastAPI / Django / Flask
• Strong understanding of RESTful APIs
• Experience with evaluation techniques (A/B testing, dataset-driven evaluation)
• Software engineering best practices (testing, logging, monitoring, security, scalability)

Good to Have

• Experience with Databricks for GenAI workflows
• MCP (Model Context Protocol) or standardized tool interfaces
• Azure Cloud exposure
• DevOps / MLOps experience
• CI/CD using GitHub or Azure DevOps
• Full-stack development exposure

Preferred Qualifications

• BS/MS in Computer Science or related field
• Databricks Certified: Generative AI Engineer Associate (or equivalent)
• Experience with end-to-end GenAI lifecycle management
• Agile development experience

Keywords for Sourcing

Python, Generative AI, LLM, RAG, LangChain, LangGraph, Vector DB, Agentic AI, FastAPI, Django, Flask, Databricks, Azure, MCP, Prompt Engineering