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 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.