Senior AI Engineer – AI/ML + .NET

Senior AI Engineer – AI/ML + .NET

Experience: 7–10 Years
Location: Remote – Pan India
Working Hours: 11:00 AM – 9:00 PM IST

Job Summary

We are looking for a Senior AI Engineer with strong hands-on experience in Generative AI, AI/ML, LLMs, RAG, MCP, AI Agents, Python, and Microsoft .NET technologies.

This is a 70% AI/GenAI and 30% .NET role. You will be responsible for designing, developing, integrating, and deploying enterprise-grade AI solutions while leveraging C#, .NET Core, ASP.NET Core, SQL Server, Azure OpenAI, and Azure AI Services.

The ideal candidate should have experience taking GenAI solutions from POC/concept through production, with strong expertise in integrating AI capabilities into scalable enterprise applications.

Key ResponsibilitiesGenerative AI & AI Engineering – 70%

• Design, develop, and deploy enterprise-grade Generative AI and AI/ML solutions.
• Build applications using LLMs, RAG, AI Agents, Agentic AI, and MCP.
• Develop AI agents capable of reasoning, tool usage, orchestration, planning, and enterprise workflow automation.
• Build end-to-end RAG pipelines, including document ingestion, chunking, embeddings, retrieval, semantic search, and contextual generation.
• Integrate Azure OpenAI and Azure AI Services into enterprise applications.
• Implement prompt engineering and context engineering techniques.
• Work with vector databases, semantic search, AI orchestration frameworks, and LLM-based architectures.
• Develop scalable AI/ML services and integrate them with enterprise systems and APIs.
• Evaluate AI solutions for accuracy, relevance, latency, reliability, scalability, and production readiness.
• Build reusable AI components, APIs, agents, frameworks, and services for enterprise adoption.
• Identify and implement AI/GenAI use cases for enterprise and healthcare workflows.
• Collaborate with architects, product teams, and business stakeholders to translate AI requirements into technical solutions.
• Troubleshoot AI services and contribute to root-cause analysis and production issue resolution.

.NET & Enterprise Development – 30%

• Design and develop enterprise applications using C# and .NET Core.
• Build scalable REST APIs and microservices using ASP.NET Core.
• Integrate GenAI/LLM capabilities into existing .NET enterprise applications.
• Develop secure and scalable backend services following clean architecture and industry best practices.
• Work with SQL Server, including query optimization and database performance improvements.
• Develop enterprise integrations and cloud-based application services.
• Participate in technical design, architecture discussions, code reviews, and development activities.
• Ensure application scalability, security, maintainability, and production readiness.

DevOps & Engineering Practices

• Use Git and follow appropriate branching and source-control strategies.
• Develop and maintain CI/CD pipelines for application and AI workloads.
• Follow Agile/Scrum development practices.
• Participate in sprint planning, daily stand-ups, retrospectives, and technical discussions.
• Implement automated testing and maintain code quality standards.
• Create and maintain technical documentation.
• Troubleshoot application, API, cloud, and AI-service issues.
• Mentor junior developers and contribute to engineering best practices.

Mandatory SkillsAI / Generative AI

• AI/ML
• Generative AI / GenAI
• Large Language Models (LLMs)
• RAG / Retrieval-Augmented Generation
• MCP / Model Context Protocol
• AI Agents / Agentic AI
• Prompt Engineering
• Context Engineering
• Vector Databases
• Semantic Search
• AI/LLM Orchestration
• Production implementation of GenAI solutions
• Python

.NET / Backend

• C#
• .NET Core
• ASP.NET Core
• REST APIs
• Microservices
• SQL Server
• Enterprise Application Development
• API Integration

Azure / Cloud / Engineering

• Azure OpenAI
• Azure AI Services
• Azure
• Git
• CI/CD
• Agile/Scrum
• Cloud-based application development

Good-to-Have Skills

• Angular
• React
• Healthcare AI / Healthcare domain experience
• Azure AI Foundry
• LangChain
• LangGraph
• Semantic Kernel
• AutoGen
• Azure AI Search
• Pinecone
• Weaviate
• Other vector databases
• Multi-agent architectures
• AI evaluation and LLM evaluation
• AI guardrails
• Responsible AI
• Docker …