Lead/Senior Software Engineering - AI Solution Engineering

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

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.)