Senior AI Developer

The Opportunity

We are looking for a Senior AI Developer to join our CEE IT Digital Solutions team and build high-quality enterprise AI solutions.

You will work closelywith other developersbusiness 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 improvingAI solutions while applying strong engineering security and delivery practicesis required.

What You WillDo:

• Build test deploy and support AI-based solutions using Microsoft Copilot Studio Microsoft FoundryAzureand 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 RAGknowledgegrounding embeddings chunking and vector search approaches to improve AI solution quality and relevance.

• Build integrations withotherenterprise systems Microsoft services databases APIs and cloud services.

• Develop solutions using Azure services such as App Services Functions Blob Storage Key Vault Azure SQLand other Azure platform services.

• Optimizeprompt engineeringstrategies 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 reusableassets templateswritetechnicaldocumentation and engineering best practices.

• Support members to grow AI engineering capabilities across the team.

What WeAre 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 workflowsevaluationorchestration integrationsskills topicsetc.

• Strong hands-on experience with Microsoft Foundryincluding customagent hostingon Foundry.

• Strong experience with Azure OpenAI and Azure AISearch.

• ProficientPython development skills.

• Basic knowledge ofStreamlitfor building AI applications demos internal tools or prototypes.

• Strong understanding of REST APIs andhands-on experience with API development frameworks and tools such as Spring BootFastAPIor similar technologies.

• Practical experiencewith Azureclous services such asApp ServicesAzureFunctions 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 analysisand troubleshooting.

• GitHub and source controlknowledge.

• Prompt Engineeringskills.

• MCP -ModelContext Protocolapplied knowledge.

• Be familiarwithLangChainand/orLangGraph

• 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.

NiceToHave:

• Power Platform-Power Automate.

• Azure DevOps CI/CD.

• Microsoft Graph API.

• Agentic frameworks: Microsoft Agent FrameworkAutoGen 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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