Senior Software Engineer - Python with GenAI, LLM

EPAM Systems, Inc.; Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Tech Talks & Hackathons

LinkedIn Learning access

Relocation opportunities

Job summary

EPAM Systems, Inc. in Gurugram, India, seeks an experienced AI Engineer to design production-grade Generative AI solutions, with a focus on agentic workflows and enterprise AI applications.

You will design and implement AI agents using LangChain, LangGraph and other frameworks, build backend services and data pipelines, and collaborate with product and engineering teams to deliver scalable AI products.

Qualifications

• 5–7 years of software engineering experience.
• Hands-on with Generative AI and LLMs production apps.
• Proficient in Python; building production-ready services.
• Experience with at least two agentic AI frameworks (e.g., LangChain, LangGraph, etc.).
• Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex).

Responsibilities

• Design and develop scalable Generative AI applications and agentic solutions.
• Build and orchestrate AI agents using agent frameworks.
• Develop back-end services, APIs, and data pipelines powering AI products.
• Implement RAG patterns, tool calling, and human-in-the-loop workflows.
• Optimize prompts and agent workflows for reliability and UX.

Skills

Generative AI

Python

LLMs

Agent frameworks

LangChain

LangGraph

Cloud AI platforms

REST/gRPC

Docker

FastAPI/Flask

Tools

LangChain

LangGraph

Google ADK

CrewAI

AutoGen

Microsoft Copilot Studio

Docker

FastAPI

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.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. The ideal candidate combines strong software engineering fundamentals with hands-on expertise in LLMs, RAG architectures, and AI agent frameworks.ResponsibilitiesDesign, architect, and develop scalable Generative AI applications and agentic solutions for real-world business use casesBuild and orchestrate AI agents using frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, Microsoft Copilot Studio, or similar technologiesDevelop and maintain backend services, APIs, microservices, and data pipelines that power AI-driven productsImplement advanced AI patterns including RAG, Agentic RAG, tool/function calling, planning & reflection loops, and human-in-the-loop workflowsEngineer and optimize prompts, system instructions, and agent workflows to improve reliability, accuracy, and user experienceIntegrate LLMs with enterprise systems, third-party APIs, vector databases, and knowledge repositoriesMonitor, evaluate, and continuously improve model and agent performance using observability tools, metrics, and user feedbackCollaborate closely with Product, Engineering, Data, and Design teams to deliver impactful AI solutionsStay current with emerging AI technologies, frameworks, and best practices, contributing innovative ideas to the teamDocument architectures, design decisions, and reusable solution patterns while supporting knowledge sharing across teamsRequirements5-7 years of experience in software engineeringHands-on experience building applications using Generative AI and LLM technologiesStrong proficiency in Python and experience developing production-ready applicationsHands-on experience with at least two agentic AI frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, or Microsoft Copilot extensibilityExperience with cloud AI platforms including Azure OpenAI, AWS Bedrock, or Google Vertex AI/ADKStrong backend development skills, including REST/gRPC APIs, asynchronous programming, Docker, and frameworks such as FastAPI or FlaskSolid understanding of leading LLMs including OpenAI GPT models, Anthropic Claude, Google Gemini, and open-source alternativesPractical experience building RAG solutions using vector databases such as Pinecone, Weaviate, ChromaDB, or QdrantExpertise in prompt engineering, LLM orchestration, structured outputs, guardrails, ReAct patterns, and evaluation techniquesStrong problem-solving, system design, and architectural decision-making skillsExcellent communication skills with the ability to collaborate effectively across global teamsWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)