AI Engineer – Semantic Kernel, Microsoft Agent Framework

This is a fully remote position, open to applicants in Spain.

📋 Description

• Design and develop AI-driven applications and agents utilizing the Azure AI stack (Azure AI Foundry, Azure OpenAI).

• Create agent orchestration, RAG pipelines, and tool/function calling in C#/.NET employing Semantic Kernel or Microsoft Agent Framework.

• Incorporate LLM capabilities into enterprise applications and services (APIs, event-driven architectures).

• Construct and manage knowledge bases and retrieval layers using Azure AI Search, embeddings, and vector stores.

• Conduct evaluations of AI outputs (test datasets, quality metrics, prompt iteration) to ensure that solutions are quantifiable, rather than merely plausible.

• Implement enterprise-grade security, identity (Microsoft Entra ID), networking, and observability practices for AI workloads.

• Streamline build, deployment, and analysis workflows through Azure DevOps pipelines.

• Collaborate closely with client technical teams in an Agile / Scrum setting.

• Communicate progress, solutions, and recommendations to international stakeholders in English.

• Document architectures, patterns, and decisions while suggesting avenues for continuous improvement.

⛳️ Requirements

• Demonstrated experience as a .NET (C#) developer in enterprise settings.

• Practical experience in building solutions with Azure OpenAI and/or Azure AI Foundry.

• Solid understanding of LLM application patterns: RAG, agents, tool/function calling, prompt design, and evaluation.

• Experience with Semantic Kernel, Microsoft Agent Framework, or similar AI orchestration frameworks.

• Strong knowledge of the Azure platform: AI Search, App Service or Functions, DevOps, Entra ID.

• Excellent analytical skills and comprehensive solution design capabilities.

• Capability to work autonomously, from requirements gathering to final delivery.

• Preferred: Proficiency in Python for AI tooling and evaluation, Model Context Protocol (MCP), vector databases, and the GitHub Copilot ecosystem.

🏝️ Benefits

• Comprehensive private health insurance (including dental care).

• Flexible remuneration options (meal vouchers, childcare, public transport/mobility).

• Access to the UDEMY Business platform, offering a diverse range of online training content (certifications, courses, etc.).

• Individual annual budget dedicated to training and certifications.

• Hybrid work policy with one day in the office each week.

• Flexible working hours, including shorter Fridays and summer hours in July and August.