Overview

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.

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.

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.
• Strong knowledge of C#, .NET/.NET Core, ASP.NET Core, Web APIs, and enterprise application development.
• 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.
• Knowledge of databases such as SQL Server, PostgreSQL, Cosmos DB, or similar technologies.
• 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.
• Strong analytical, problem-solving, communication, and stakeholder management skills.
• Ability to translate complex business requirements into practical and scalable AI and software solutions.
• Knowledge of Agentic AI and multi-agent frameworks such as AutoGen, CrewAI, or Semantic Kernel Agents.
• Exposure to MLOps, LLMOps, AI monitoring, evaluation frameworks, and production support.
• Knowledge of Docker, Kubernetes, and cloud-native application development.
• Domain exposure in manufacturing, automotive, supply chain, quality, finance, enterprise IT, or digital transformation.
• 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.