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

- Solid 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.

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