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

Valuable-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
- Kubernetes
- MLOps / LLMOps
- Event-driven architecture
- Messaging systems

Experience & Qualifications

- 7–10 years of overall software development experience.
- 2–4 years of hands-on AI/ML/Generative AI experience.
- Strong hands-on experience with C#, .NET Core, and ASP.NET Core.
- Proven experience building and deploying LLM, RAG, and AI Agent solutions.
- Experience integrating AI capabilities with enterprise applications and APIs.
- Strong experience with Python for AI/ML and GenAI development.
- Experience working with Azure OpenAI and Azure AI Services is highly preferred.
- Experience taking AI/GenAI solutions from POC to production.
- Healthcare data, applications, workflows, or AI use-case experience is an advantage.
- Strong problem-solving, communication, technical design, and mentoring skills.

Ideal Candidate Profile

The ideal candidate is not purely an AI/ML researcher and not purely a .NET developer.

We are specifically looking for a hands-on engineer who can:

Build AI → Integrate AI → Develop .NET APIs → Deploy to Cloud → Support Production

A strong candidate should be comfortable working across GenAI/LLMs/RAG/Agents/Python as well as C#/.NET/ASP.NET Core/REST APIs/SQL Server.

Key Search Keywords

Generative AI | GenAI | AI/ML | LLM | RAG | MCP | Model Context Protocol | AI Agents | Agentic AI | Python | Prompt Engineering | Context Engineering | Vector Database | Semantic Search | Azure OpenAI | Azure AI Services | Azure AI Foundry | C# | .NET | .NET Core | ASP.NET Core | REST API | Microservices | SQL Server | Git | CI/CD | Agile | Scrum | LangChain | LangGraph | Semantic Kernel | AutoGen | Healthcare AI | Azure | MLOps | LLMOps

Pay: ₹90,000.00 - ₹130,000.00 per month

Experience:

- Software development: 7 years (Required)
- AI/ML/Generative AI: 2 years (Required)

Work Location: Remote

📌 Senior AI Engineer – AI/ML + .NET (India)
🏢 Tech Next
📍 India