Senior AI Developer

Job Description & Summary

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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