Python ML Engineer - Generative AI
Resume ready? Build an ATS-optimized one — free.
Try JotCV →Resume ready for this application?
Build an ATS-optimized resume free on JotCV →
Persistent Systems is hiring a Python ML Engineer with Generative AI expertise to join its fast-growing AI Center of Excellence. You will build enterprise GenAI applications — including RAG pipelines, autonomous agents, and LLM-powered automation tools — for clients in BFSI, healthcare, and manufacturing sectors.
This is a high-demand, high-growth area. You will get to work with the latest LLMs and multimodal AI models, building production-grade GenAI systems from POC to enterprise-scale deployment.
- Build RAG (Retrieval-Augmented Generation) pipelines using LangChain and vector databases
- Develop LLM-powered agent workflows for enterprise automation
- Fine-tune open-source LLMs for domain-specific client use cases
- 3-6 years of ML engineering experience with recent GenAI exposure
- Strong Python programming with LangChain, LlamaIndex, or similar frameworks
- Experience with LLM APIs (OpenAI, Anthropic, Gemini) and open-source LLMs (Llama, Mistral)
- Knowledge of vector databases (Pinecone, Weaviate, ChromaDB)
- Understanding of prompt engineering and LLM evaluation techniques
- Experience deploying AI services on AWS or Azure
- Design and build production-grade RAG and GenAI pipelines
- Fine-tune and evaluate LLMs for enterprise client use cases
- Build LLM-powered agents and automated workflow tools
- Integrate AI services with enterprise systems via REST APIs
- Conduct GenAI architecture workshops and demos for clients
Stay Ahead in the
Jobspri Market
Join 50,000+ candidates receiving weekly job alerts, interview tips, and salary insights directly from top recruiters.
By subscribing, you agree to ourTerms of ServiceandPrivacy Policy.