Senior AI Developer

Job Description & Summary

You will work closely with other developers, business analysts, project managers, security teams, and other stakeholders to design, develop, deploy, and support AI-based solutions built primarily on the Microsoft Power Platform and Azure ecosystem.

This role is ideal for a hands-on developer with strong experience in Microsoft Copilot Studio, Microsoft Foundry, AI agents, Azure services, and modern AI engineering frameworks. The developer should be able to quickly prototype, deliver MVPs, and build production-ready solutions. Continuously improving AI solutions while applying strong engineering, security, and delivery practices is required.

What You Will Do

• Build, test, deploy, and support AI-based solutions using Microsoft Copilot Studio, Microsoft Foundry, Azure and related technologies.
• Design and implement AI agents, workflows, orchestration patterns, integrations, and Human-in-the-Loop solutions.
• Develop AI-powered applications, APIs, services, prototypes, MVPs, and production-ready solutions.
• Implement RAG, knowledge grounding, embeddings, chunking, and vector search approaches to improve AI solution quality and relevance.
• Build integrations with other enterprise systems, Microsoft services, databases, APIs, and cloud services.
• Develop solutions using Azure services such as App Services, Functions, Blob Storage, Key Vault, Azure SQL, and other Azure platform services.
• Optimize prompt engineering strategies, model selection, evaluation, monitoring, observability, and continuous improvement of AI solutions.
• Troubleshoot, debug, optimize, and maintain AI solutions across development, testing, and production environments.
• Create reusable assets, templates, write technical documentation, and engineering best practices.
• Support members to grow AI engineering capabilities across the team.

What We Are Looking For

• 5+ years of experience in software engineering, application development, or intelligent automation development.
• 2+ years of experience designing and delivering AI, GenAI, intelligent automation, or machine learning solutions.
• Advanced hands-on experience with Microsoft Copilot Studio - agents, workflows, evaluation, orchestration, integrations, skills, topics etc.
• Strong hands-on experience with Microsoft Foundry including custom agent hosting on Foundry. · Strong experience with Azure OpenAI and Azure AI Search.
• Proficient Python development skills.
• Basic knowledge of Streamlit for building AI applications, demos, internal tools, or prototypes.
• Strong understanding of REST APIs and hands-on experience with API development frameworks and tools such as Spring Boot, FastAPI, Express.js or similar technologies.
• Practical experience with Azure clous services such as App Services, Azure Functions, Blob Storage, Key Vault, Azure SQL, storage, integration, and other Azure platform services.
• Hands-on experience with SQL and relational databases for application development, data analysis, and troubleshooting.
• GitHub and source control knowledge.
• Prompt Engineering skills.
• MCP - Model Context Protocol applied knowledge. · Be familiar with LangChain and/or LangGraph
• Strong understanding of AI-assisted software development practices, including the effective use of tools such as M365 Copilot, Cursor AI, Claude Code, and similar AI-powered engineering assistants.
• Solid knowledge of embeddings, chunking strategies, vector search architectures, and RAG implementations.
• Experience implementing agentic workflows, orchestration patterns, multi-agent solutions, and Human-in-the-Loop AI workflows.
• Experience with LLM evaluation techniques, AI quality metrics, benchmarking approaches, and solution evaluation methodologies.
• AI observability, tracing, and monitoring concepts.
• AI cost optimization and token consumption awareness.
• Ability to write clean, modular, maintainable, and well-documented code.
• Ability to communicate effectively with both technical and business audiences.
• Fluent spoken and written English.

Nice To Have

• Power Platform - Power Automate.
• Azure DevOps CI/CD.
• Microsoft Graph API.
• Agentic frameworks: Microsoft Agent Framework, AutoGen, CrewAI, and other modern agentic frameworks.
• Vector Databases knowledge: Qdrant, ChromaDB.
• Data & Analytics Platforms: Databricks, Microsoft Fabric.
• Containers, Docker, Kubernetes.
• Voice agents and conversational AI solutions, including platforms such as ElevenLabs or similar providers.

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