Lead/Senior Software Engineering - AI Solution Engineering

EPAM Systems; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

EPAM Systems in Bengaluru is seeking a Lead/Senior Software Engineer specialized in AI Solution Engineering to design, build, and deploy full-stack LLM-powered AI applications. You will drive cloud architecture, coding standards, and responsible AI delivery across enterprise systems.

You will build AI-enabled apps using Azure AI Foundry, OpenAI integration, and data pipelines, while implementing CI/CD, security, and maintainability across teams.

Qualifications

• 6–14 years of IT experience.
• Strong coding skills in Python, C#, and REST/GraphQL APIs.
• Hands-on Azure AI stack experience (Azure OpenAI, Azure AI Foundry, Cognitive Services).
• Experience with Azure AI Search, NLP, and vector databases.
• Proficiency in CI/CD with GitHub, branching strategies, linters, and PEP8.
• Familiarity with containerization using Docker and deployment to AKS or App Service.

Responsibilities

• Build full-stack LLM-powered AI applications using Azure or vector databases.
• Develop APIs/microservices with Python, C#, or Node and integrate with UIs and enterprise systems.
• Advance agentic AI development using Azure tools and Copilot Studio.
• Implement CI/CD pipelines with GitHub Actions or Azure DevOps and manage cloud deployments.
• Create data and feature pipelines with Azure Data Factory, Synapse, or Databricks and manage embeddings and prompt versioning.
• Deploy models to production and maintain them over time.
• Ensure code quality with health checks, audits, and reviews; uphold AI principles.

Skills

Python

C#

REST/GraphQL APIs

Azure AI stack

CI/CD

GitHub Actions

Azure OpenAI

Azure Cognitive Services

Azure Data Factory

Databricks

Docker

AKS

Security basics

Tools

Docker

AKS

Cosmos DB

PostgreSQL

GitHub Actions

Job description

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