We are looking for a Lead Software Engineering - AI Solution Engineering professional to deliver full-stack, LLM-driven AI products on Azure for enterprise use. You will build APIs and deployments, mature CI/CD and cloud architecture, and ensure Responsible AI and security practices are followed—apply today.

Responsibilities

- Design and build full-stack LLM-powered AI applications on Azure, including prompt engineering, grounding, RAG, and vector database usage

- Implement APIs and microservices with Python, .NET, or Node and integrate them with UIs and enterprise platforms

- Drive agentic AI development efforts leveraging Azure AI Foundry and Copilot Studio

- Deliver CI/CD automation with GitHub Actions or Azure DevOps and oversee deployments to AKS, App Service, and Functions

- Develop data and feature pipelines via Azure Data Factory, Synapse, or Databricks and handle embeddings management and prompt versioning

- Release models into production and keep them secure, updated, and monitored over time

- Enforce coding standards and Responsible AI principles through health checks, audits, and consistent code reviews across project teams

Requirements

- Overall IT experience of 6–14 years with a strong record of delivering production software

- Hands-on coding ability in Python and C#, including REST/GraphQL API development, testing, and participating in code reviews





- Deep familiarity with Azure OpenAI, Azure AI Foundry, and Azure Cognitive Services within the Azure AI stack

- Exposure to Azure AI Search, NLP, and Azure ML, along with vector databases like AI Search vector index, Cosmos DB, or PostgreSQL

- Experience creating agentic solutions using the Azure AI stack

- Proficiency with GitHub-based CI/CD, branching strategies, and coding standards (linters, formatters, PEP8), including GitHub Actions pipelines

- Experience packaging services with Docker and deploying to AKS, App Service, or Functions

- Working knowledge of Key Vault and Managed Identity for secrets management, plus RBAC and network security fundamentals

- Understanding of Responsible AI, privacy requirements, and data security in enterprise settings

Nice to have

- Hands-on use of GitHub Copilot and Microsoft Copilot Studio (Power Platform)

- Exposure to PromptFlow, MLflow, Databricks, plus Streamlit or React

- Familiarity with MLOps and/or LLMOps practices

- Azure certifications including AI-102 or AZ-204

- Experience working with one of the big cloud environments (e.g. Azure)

- Understanding of RAG patterns, prompt design, tool/function calling, embeddings, retrieval, and caching

- Preferred experience working with Asset projects

📌 Lead Software Engineering - AI Solution Engineering (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru