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Lead / Sr. Generative AI Developer with AWS

EPAM Systems, Inc.
Gurugram, IND
Full-time
Senior · 6+ years experience
Onsite
Discovered 3 weeks ago
Amazon BedrockEC2S3LambdaRDSVPC
Free

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Amazon BedrockEC2S3
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Responsibilities

  • Design and build GenAI solutions using Amazon Bedrock or similar GenAI platforms
  • Integration with foundation models such as Anthropic Claude and Titan
  • Perform prompt engineering and optimization
  • Develop RAG (Retrieval Augmented Generation) architectures
  • Create AI-powered applications such as chatbots, copilots, knowledge assistants and document processing solutions
  • Evaluate and fine-tune LLM-based use cases for business scenarios
  • Integrate GenAI models with enterprise applications and APIs
  • Implement secure AI architectures aligned with enterprise and regulatory standards
  • Ensure data privacy, model governance and responsible AI practices

Requirements

  • Bachelor's or master's degree in Computer Science, Engineering or related field
  • 6 to 12 years of overall experience with 10+ years in IT and 5+ years in cloud architecture
  • Hands-on experience with AWS cloud services such as EC2, S3 and Lambda, as well as RDS, VPC and IAM
  • Proven experience with Amazon Bedrock or similar GenAI platforms
  • Expertise in LLMs, prompt engineering and embeddings alongside RAG frameworks
  • Knowledge of programming languages such as Python, React or Node.js
  • Proficiency in designing API-driven and microservices architectures

Nice to have

Familiarity with LangChain, LlamaIndex or similar frameworks

Knowledge of vector databases such as OpenSearch, Pinecone or FAISS

Understanding of MLOps and model lifecycle management

Exposure to multi-cloud environments such as Azure or OpenAI

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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