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