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Lead/Sr. AI ML Engineer / GEN AI Engineer

Intelizign Lifecycle Services
Posted on
Intelizign Lifecycle Services logo

Experience
5 - 10 yrs
Job Location
Pune, India
Vacancy
1
Designation
Lead Machine Learning Engineer
Job Type
Not specified

Job Description

Lead / Senior AI/ML Engineer / GenAI Engineer


Role & responsibilities


Experience: 5+ Years
Location: Pune
Notice Period: Immediate to 30 Days
Employment Type: Full-time


About the Role


We are looking for an experienced Lead / Senior AI/ML Engineer / GenAI Engineer to design, develop, and deploy AI/ML and Generative AI solutions. The ideal candidate should have strong hands-on experience in Python, LLMs, RAG, NLP, Transformers, LangChain/LangGraph, and AI application development.


Key Responsibilities

  • Design and develop scalable AI/ML and Generative AI solutions for business use cases.
  • Build and optimize LLM-powered applications using RAG, prompt engineering, agents, and tool calling.
  • Develop AI workflows and agentic applications using LangChain / LangGraph.
  • Implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, vector search, retrieval, and evaluation.
  • Work with Transformers, NLP, LLMs, embeddings, and fine-tuning techniques.
  • Develop production-ready AI services and APIs using Python.
  • Evaluate and optimize model performance, accuracy, latency, and cost.
  • Work with vector databases and AI/ML frameworks to build scalable solutions.
  • Collaborate with product, engineering, and data teams to translate business requirements into AI solutions.
  • Lead technical discussions, architecture decisions, code reviews, and mentor junior AI/ML engineers.
  • Stay updated with emerging GenAI, LLM, Agentic AI, and AI/ML technologies.

Required Skills

  • 5+ years of experience in AI/ML, Data Science, NLP, or related engineering roles.
  • Strong hands-on programming experience in Python.
  • Strong experience with Generative AI / LLM applications.
  • Hands-on experience with LangChain and/or LangGraph.
  • Strong understanding of RAG architecture and implementation.
  • Experience with Transformers, NLP, embeddings, prompt engineering, and LLMs.
  • Experience with Vector Databases and semantic search.
  • Good understanding of ML/AI model evaluation and optimization.
  • Experience developing and deploying AI solutions in production environments.
  • Strong problem-solving and analytical skills.



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