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 looking for a Lead / Sr. Generative AI Developer with AWS to design and build cutting-edge GenAI solutions using Amazon Bedrock and similar platforms. In this role, you will develop AI-powered applications, integrate foundation models with enterprise systems and ensure secure, responsible AI practices across business scenarios.
Responsibilities
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Design and build GenAI solutions using Amazon Bedrock or similar GenAI platforms
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Integration with foundation models such as Anthropic Claude and Titan
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Perform prompt engineering and optimization
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Develop RAG (Retrieval Augmented Generation) architectures
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Create AI-powered applications such as chatbots, copilots, knowledge assistants and document processing solutions
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Evaluate and fine-tune LLM-based use cases for business scenarios
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Integrate GenAI models with enterprise applications and APIs
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Implement secure AI architectures aligned with enterprise and regulatory standards
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Ensure data privacy, model governance and responsible AI practices
Requirements
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Bachelor's or master's degree in Computer Science, Engineering or related field
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6 to 12 years of overall experience with 10+ years in IT and 5+ years in cloud architecture
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Hands-on experience with AWS cloud services such as EC2, S3 and Lambda, as well as RDS, VPC and IAM
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Proven experience with Amazon Bedrock or similar GenAI platforms
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Expertise in LLMs, prompt engineering and embeddings alongside RAG frameworks
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Knowledge of programming languages such as Python, React or Node.js
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Proficiency in designing API-driven and microservices architectures
Nice to have
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Familiarity with LangChain, LlamaIndex or similar frameworks
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Knowledge of vector databases such as OpenSearch, Pinecone or FAISS
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Understanding of MLOps and model lifecycle management
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Exposure to multi-cloud environments such as Azure or OpenAI
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
