Design, build, and deploy enterprise AI solutions including ML, deep learning, computer vision, generative AI, and agentic systems. Develop feature pipelines, train/optimize models (PyTorch/TensorFlow), implement RAG/embedding-based retrieval, MLOps workflows, monitoring, and multi-agent architectures. Collaborate with stakeholders and document models, architectures, and best practices.
We are looking for a passionate and experienced Senior AI Developer – Azure OpenAI with 5–8 years of experience in designing, developing, and deploying enterprise-grade AI-powered business applications. The ideal candidate should have strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Azure OpenAI, and enterprise application development, along with a minimum of 2 years of hands-on experience in .NET technologies. As a Senior AI Developer, you will lead the design and development of scalable AI solutions, enterprise Copilots, intelligent automation platforms, and AI-powered applications using Microsoft Azure AI services. You will work closely with AI engineers, .NET developers, software architects, data teams, and business stakeholders to deliver secure, scalable, and high-performing AI solutions for real-world business problems.
Key Responsibilities
- Design, develop, and deploy enterprise-grade Generative AI applications using Azure OpenAI Service, GPT models, and OpenAI APIs.
- Lead the development of AI-powered applications using Python and .NET technologies.
- Build enterprise AI assistants, chatbots, and Copilot-style solutions for business users.
- Design and implement scalable Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge search and intelligent assistants.
- Develop intelligent document processing, summarization, automation, and workflow solutions.
- Build conversational AI applications using Large Language Models and foundation models.
- Work with Azure OpenAI, Azure AI Search, Azure AI Foundry, Azure Storage, and other Azure AI services.
- Design and develop backend services, APIs, and microservices using .NET/.NET Core, C#, Python, FastAPI, or Flask.
- Integrate AI capabilities with enterprise applications, web platforms, APIs, SharePoint, Microsoft Teams, and other business systems.
- Develop vector search and semantic search solutions using Azure AI Search or other vector databases.
- Build and optimize data ingestion pipelines for documents, PDFs, structured data, and enterprise knowledge repositories.
- Work with embeddings, document chunking, indexing, retrieval, reranking, and grounding mechanisms.
- Design effective prompts, system instructions, reusable prompt templates, and prompt engineering frameworks.
- Optimize LLM applications for response quality, token usage, latency, scalability, performance, and cost.
- Define and implement LLM evaluation strategies to continuously improve AI response quality and reliability.
- Implement guardrails, content filtering, hallucination control, Responsible AI practices, and secure AI application patterns.
- Design and develop REST APIs and microservices using ASP.NET Core, C#, FastAPI, Flask, or similar frameworks.
- Support secure AI solution architecture using Microsoft Entra ID, RBAC, Managed Identity, and Azure security best practices.
- Deploy and manage AI applications using Azure App Service, Azure Functions, containers, AKS, or other relevant Azure services.
- Collaborate with architects and engineering teams to define scalable AI application architecture and integration patterns.
- Conduct code reviews and establish best practices for Python, .NET, API development, and AI application engineering.
- Mentor junior developers and AI engineers and provide technical guidance on solution design and implementation.
- Monitor application reliability, AI response quality, usage patterns, performance, and production issues.
- Troubleshoot complex AI application, API, integration, and deployment issues.
- Maintain technical documentation, solution architecture documents, design standards, and reusable knowledge base articles.
- Stay updated with the latest advancements in Generative AI, LLMs, Azure AI, agentic AI, and enterprise application development.
Required Skills & Qualifications
- 5–8 years of overall experience in software application development.
- Minimum 2 years of hands-on experience in .NET/.NET Core and C# development.
- Strong hands-on experience in Python development, particularly for AI and Generative AI applications.
- Strong experience with Azure OpenAI, OpenAI APIs, GPT models, embeddings, and prompt engineering.
- Hands-on experience designing and developing RAG-based applications, semantic search, enterprise knowledge assistants, or AI-powered Copilots.
- Experience building scalable backend applications using ASP.NET Core, .NET Web APIs, REST APIs, FastAPI, Flask, or microservices architecture.
- Strong knowledge of C#, .NET/.NET Core, ASP.NET Core, Web APIs, and enterprise application development.
- Experience with AI frameworks such as LangChain, Semantic Kernel, LlamaIndex, or similar frameworks.
- Good understanding of vector search, embeddings, document chunking, indexing, retrieval, reranking, and grounding.
- Hands-on experience with Azure AI Search and other relevant Azure AI services.
- Strong knowledge of Python, C#, REST APIs, JSON, and software engineering best practices.
- Experience integrating AI capabilities into existing .NET-based or enterprise applications.
- Knowledge of databases such as SQL Server, PostgreSQL, Cosmos DB, or similar technologies.
- Experience with Azure Functions, Azure Storage, Azure App Service, Azure Kubernetes Service (AKS), or containerized deployments.
- Strong understanding of Azure DevOps, Git, CI/CD pipelines, and software release practices.
- Knowledge of secure API integration and identity management using Microsoft Entra ID, RBAC, Managed Identity, and Azure security practices.
- Good understanding of LLM evaluation, prompt optimization, guardrails, Responsible AI, and hallucination mitigation.
- Experience designing scalable, secure, and maintainable enterprise applications.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
- Ability to translate complex business requirements into practical and scalable AI and software solutions.
Preferred / Nice-to-Have Skills
- Experience with Microsoft Copilot Studio, Power Platform, or Microsoft 365 integration.
- Knowledge of Agentic AI and multi-agent frameworks such as AutoGen, CrewAI, or Semantic Kernel Agents.
- Experience with vector databases such as FAISS, ChromaDB, Pinecone, or Azure AI Search Vector Index.
- Experience with Azure Document Intelligence, OCR, or Intelligent Document Processing.
- Exposure to MLOps, LLMOps, AI monitoring, evaluation frameworks, and production support.
- Experience designing and implementing event-driven or distributed microservices architectures.
- Knowledge of Docker, Kubernetes, and cloud-native application development.
- Experience integrating AI solutions with enterprise platforms such as SharePoint, Microsoft Teams, ITSM platforms, ERP systems, or other business applications.
- Experience with application modernization or integrating Generative AI capabilities into existing .NET applications.
- Domain exposure in manufacturing, automotive, supply chain, quality, finance, enterprise IT, or digital transformation.
- Experience leading technical discussions, solution design sessions, and mentoring junior developers.
Life at Next
At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth.
Perks of Working With Us
- Clear objectives that align your work with our mission and enable meaningful contributions.
- Abundant opportunities to engage with customers, product managers, technical leaders, architects, and leadership teams.
- Progressive career paths supported by continuous guidance and feedforward sessions from managers.
- Opportunities to build strong connections across diverse communities of interest.
- Flexibility to choose mentors who can guide your current work and future career aspirations.
- Continuous learning and upskilling opportunities through Nexversity.
- Opportunities to explore different functions, develop new skills, and work with emerging technologies.
- Hybrid work model supporting flexibility and work-life balance.
- Comprehensive family health insurance coverage.
- Accelerated career paths designed to help you achieve your professional aspirations.
Who We Are
We enable high-growth enterprises to build hyper-personalized solutions that transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technologies, and harness the power of data and AI to co-create tailored solutions that meet the unique needs of our customers.
Our teams work on solving meaningful business challenges by combining technology, innovation, cloud, software engineering, data, and Artificial Intelligence to create measurable business impact.
Join our passionate team and tailor your growth with us!
TVS Next Chennai, Tamil Nadu, IND Office
Chennai, India
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