Lead / Senior Software Engineering - AI Solution Engineering

Epam Systems; Bengaluru; On-site; INR 2,400,000 - 4,000,000; Full time

Benefits offered by this job

Azure certifications (AI-102, AZ-204)

Job summary

Epam Systems in Bengaluru is hiring a Lead/Senior Software Engineer specializing in AI Solution Engineering to design, build, and deploy full-stack LLM-powered applications across enterprise systems.

You will lead features from API design to cloud architecture, implement CI/CD, and ensure responsible AI delivery. Candidates should have 6–14 years IT experience, strong Python/C#, Azure AI stack, and security awareness in enterprise contexts.

Qualifications

• 6–14 years of IT experience.
• Strong coding in Python, C#, and REST/GraphQL APIs with testing and code reviews.
• Hands-on expertise with the Azure AI stack (Azure OpenAI, Azure AI Foundry, Cognitive Services).
• Familiarity with Azure AI Search, NLP, Azure ML and vector databases.
• Proficiency in CI/CD with GitHub Actions; GitHub workflows and branching strategies.
• Containerization with Docker; deployment to AKS, App Service, or Functions.
• Understanding of secrets management (Key Vault), RBAC and network security basics.
• Knowledge of Responsible AI, privacy, and data security in enterprise settings.

Responsibilities

• Build full-stack LLM-powered AI applications using Azure or vector databases.
• Develop APIs/microservices with Python, .NET, or Node and integrate 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; manage cloud deployments (AKS, App Service, Functions).
• Build data and feature pipelines using Azure Data Factory, Synapse, or Databricks; manage embeddings and prompt versioning.
• Deploy models into production and maintain them over time; ensure clean, production-grade code across teams.

Skills

Python

C#

APIs REST/GraphQL

Azure AI stack

CI/CD

Docker

AKS

Cloud architecture

Tools

Azure OpenAI

Cosmos DB

PostgreSQL

Databricks

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.