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Location
In office (Gurgaon)
Seniority
Senior · 5+ years exp
Visa
Sponsors visas in United States; no register of this country names it

First seen by Alion on Nov 5, 2026. EPAM Systems scores D on the Alion truth index.

Overview
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Profile match
EPAM Systems is an American software engineering and digital transformation company founded in 1993 by Arkadiy Dobkin and Leonid Lozner, and headquartered in Newtown, Pennsylvania. It builds custom software products, platforms and data systems for large enterprises, combining consulting and design with engineering teams distributed across Central and Eastern Europe, India, Latin America and Western Europe. Listed on the New York Stock Exchange and a member of the S&P 500, the company relocated large parts of its delivery capacity after the 2022 invasion of Ukraine and has since centred its offering on cloud modernisation and AI-assisted engineering.

We are seeking a Generative AI Engineer to spearhead the design, development, and deployment of cutting-edge Generative AI solutions. This role involves leading technical strategy, mentoring engineering teams, and building production-ready systems using LLMs, RAG architectures, NLP, and agentic workflows. The ideal candidate is deeply passionate about the potential of generative AI to transform industries and can translate that vision into robust, scalable solutions.


Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree is a plus.
  • Minimum 5 years in software development, focusing on Python, backend development, and Generative AI technologies.
  • 5+ years of software engineering or machine learning experience, with 3+ years in GenAI/LLMs/NLP.
  • Proven expertise in Python, Api's and hands-on experience with LLM frameworks (LangChain, Langgraph, CrewAI, AutoGen, Transformers, LlamaIndex, etc. ).
  • Deep understanding of RAG systems, embedding techniques, and vector databases (e. g., FAISS, Pinecone, Weaviate).
  • Hands-on experience with Google ADK OR AWS Bedrock OR Azure AI.
  • Practical experience building agent-based architectures using LangGraph, CrewAI, or similar tools.
  • Strong knowledge of NLP fundamentals, including summarisation, Q& A, chatbots, semantic search, and entity extraction.
  • Experience with MLOps, model versioning, CI/CD, and cloud-native deployment on AWS/GCP/Azure.
  • Ability to translate complex research ideas into practical, deployable solutions.

Skills

CrewAI, Gen AI, Generative AI, LLM, LLMs, LangChain, LangGraph, LlamaIndex, Python, RAG

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