Senior AI Developer

Job Description & Summary

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 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.   C ontinuously improv ing   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   p rompt 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.

- C rea te reusable   assets , templates,   write   technical   document ation, 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,   skill s, 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   h ands-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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