EPAM Systems
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Coimbatore · On-site · 7-10 Yrs · 21 hours ago
Information Technology Support Services · 10000+ Employees · Newtown, US
EPAM (NYSE:EPAM) is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers organizations to become AI-Native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and leading analysts as a leader in AI, EPAM delivers globally while engaging locally, making the future real for clients, partners, and employees. We are proud to be recognized by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world. In India, EPAM has grown rapidly to 12,000+ EPAMers across six locations in major cities: Hyderabad, Pune, Bangalore, Gurgaon, Chennai and Coimbatore. Learn more at: https://welcome.epam.in/
Hiring: Engineering
What employees say
+ Epam is very Good company
− No such cons to mention
More reviews on the company profile.
Interview experience · Java Software Engineer
Screening round focused on coding: 1. Merge two sorted arrays without streams or built-in functions, 2. followed by a Java Stream API-based problem to convert a given String into another string.
Easy difficulty · India · 1,167 reports
More interview insightsJob description
Overview
We are seeking an experienced AI Engineer to design and build production-grade Generative AI solutions with a strong focus on agentic workflows, multi-agent systems, and enterprise AI applications.
Responsibilities
- Design, architect, and develop scalable Generative AI applications and agentic solutions for real-world business use cases
- Build and orchestrate AI agents using frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, Microsoft Copilot Studio, or similar technologies
- Develop and maintain backend services, APIs, microservices, and data pipelines that power AI-driven products
- Implement advanced AI patterns including RAG, Agentic RAG, tool/function calling, planning & reflection loops, and human-in-the-loop workflows
- Engineer and optimize prompts, system instructions, and agent workflows to improve reliability, accuracy, and user experience
- Integrate LLMs with enterprise systems, third-party APIs, vector databases, and knowledge repositories
- Monitor, evaluate, and continuously improve model and agent performance using observability tools, metrics, and user feedback
- Collaborate closely with Product, Engineering, Data, and Design teams to deliver impactful AI solutions
- Stay current with emerging AI technologies, frameworks, and best practices, contributing innovative ideas to the team
- Document architectures, design decisions, and reusable solution patterns while supporting knowledge sharing across teams
Qualifications
- 7 to 12 years of relevant professional experience
- Hands-on experience building applications using Generative AI and LLM technologies
- Strong proficiency in Python and experience developing production-ready applications
- Hands-on experience with at least two agentic AI frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, or Microsoft Copilot extensibility
- Experience with cloud AI platforms including Azure OpenAI, AWS Bedrock, or Google Vertex AI/ADK
- Strong backend development skills, including REST/gRPC APIs, asynchronous programming, Docker, and frameworks such as FastAPI or Flask
- Solid understanding of leading LLMs including OpenAI GPT models, Anthropic Claude, Google Gemini, and open-source alternatives
- Practical experience building RAG solutions using vector databases such as Pinecone, Weaviate, ChromaDB, or Qdrant
- Expertise in prompt engineering, LLM orchestration, structured outputs, guardrails, ReAct patterns, and evaluation techniques
- Strong problem-solving, system design, and architectural decision-making skills
- Excellent communication skills with the ability to collaborate effectively across global teams
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Job application FAQ
Last updated 1 November 2026
- How do I apply for Lead Software Engineer (Python, GenAI, LLM) at EPAM Systems?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. EPAM Systems may attach structured assessments to interview rounds after you apply.
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- Is Lead Software Engineer (Python, GenAI, LLM) remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked on_site with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Lead Software Engineer (Python, GenAI, LLM) role at EPAM Systems?
- This is a lead Lead Software Engineer (Python, GenAI, LLM) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.