Lead/Senior Software Engineering - AI Solution Engineering

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 a Lead/Senior Software Engineer specializing in AI Solution Engineering to design, build, and deploy full-stack LLM-powered AI applications while driving best practices in cloud architecture, coding standards, and responsible AI delivery across enterprise systems. Responsibilities • Build full-stack LLM-powered AI applications using Azure (prompt engineering, grounding, RAG) or vector databases • Develop APIs/microservices with Python, .NET, or Node and integrate them with UIs and enterprise systems • Drive agentic AI development using Azure AI Foundry and Copilot Studio • Implement CI/CD pipelines with GitHub Actions or Azure DevOps and manage cloud deployments across AKS, App Service, and Functions • Build data and feature pipelines using Azure Data Factory, Synapse, or Databricks and manage embeddings and prompt versioning • Deploy models into production and maintain them over time • Adhere to coding standards and AI principles by conducting regular health checks, audits, and code reviews to ensure clean, maintainable, production-level code across project teams Requirements • 6-14 years of overall IT experience • Strong coding skills in Python, C#, and REST/GraphQL APIs, along with experience in testing and code reviews • Hands-on expertise in the Azure AI stack, including Azure OpenAI, Azure AI Foundry, and Azure Cognitive Services • Familiarity with Azure AI Search, NLP, and Azure ML, along with vector databases such as AI Search vector index, Cosmos DB, or PostgreSQL • Experience in agentic development using the Azure AI stack • Proficiency in CI/CD with GitHub, branching strategies, and coding standards such as linters, formatters, and PEP8, along with GitHub Actions pipelines • Skills in containerization with Docker and deployment to AKS, App Service, or Functions • Knowledge of secrets management via Key Vault and Managed Identity, along with RBAC and network security basics • Understanding of Responsible AI, privacy, and data security in enterprise settings Nice to have • Experience with GitHub Copilot and Microsoft Copilot Studio (Power Platform) • Familiarity with PromptFlow, MLflow, Databricks, and Streamlit or React • Background in MLOps and/or LLMOps practices • Azure certifications (AI-102, AZ-204) • Experience working with one of the big cloud environments (e.g. Azure) • Knowledge of RAG patterns, prompt design, tool/function calling, embeddings, retrieval, and caching • Preferred experience working with Asset projects 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.)