Peelamedu East Coimbatore Tamil Nadu Microsoft dynamics Jobs – 86 Open Jobs Today

Lead Software Engineer - Python with GenAI, LLM
EPAM Systems, Inc. —Coimbatore, Tamil Nadu
- Azure
- System design
- Master's degree
- Health insurance
- Paid time off
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Lead Software Engineer - Python with GenAI, LLM

EPAM Systems, Inc. -
Coimbatore, Tamil Nadu

Apply Now

Job details

5 hours ago

Benefits

Health insurance
Paid time off

Qualifications

Azure
Law
Enterprise Software
System design
Master's degree
Databases
AWS
Docker
Back-end development
REST
APIs
Flask
AI
gRPC
Communication skills
Python

Full 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.

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

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

We offer

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.)

Apply Now

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