Lead / Sr. Generative AI Developer with AWS

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 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** - 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** - 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.)