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Senior Software Engineer - Python with GenAI, LLM

EPAM Systems, Inc.
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
PythonLangChainLangGraphGoogle ADKCrewAIAutoGen
Free

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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

Requirements

  • 5-7 years of experience in software engineering
  • 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

We offer/Benefits

  • Opportunity to work on technical challenges that may impact across geographies
  • Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
  • Opportunity to share your ideas on international platforms
  • Sponsored Tech Talks & Hackathons
  • Unlimited access to LinkedIn learning solutions
  • Possibility to relocate to any EPAM office for short and long-term projects
  • Focused individual development
  • Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
  • Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

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