AI Engineer – Semantic Kernel, Microsoft Agent Framework

SQLI

AI Engineer responsible for designing and implementing Azure AI-powered applications for SQLI, collaborating with client teams and focusing on enterprise AI solutions.

Posted 7/15/2026full-timeRemote • 🇪🇸 SpainMid-LevelSenior💰 €40,000 - €50,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI-powered applications using the Azure AI stack, with a strong focus on .NET development, LLM integration, and enterprise-grade security practices. Proficient in Agile methodologies and capable of delivering end-to-end solutions while collaborating with technical teams and stakeholders.

Highest-signal resume keywords

C# DevelopmentAzure OpenAISemantic KernelAI SearchAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#Azure AI FoundryRAG PipelinesTool/Function CallingLLM Application PatternsAzure DevOpsQuality MetricsPrompt DesignEnd-to-End Solution DesignVector Databases

Soft Skills

Analytical MindsetIndependent WorkCommunication

Tools & Technologies

Microsoft Entra IDAzure AI SearchGitHub CopilotEvent-Driven ArchitecturesKnowledge Bases

Industry Keywords

AI WorkloadsEnterprise EnvironmentsAgile/ScrumContinuous ImprovementObservability Practices

Tech Stack

Tools & technologies

Azure.NETPython

About the role

Key responsibilities & impact

Design and build AI-powered applications and agents on the Azure AI stack (Azure AI Foundry, Azure OpenAI)
Develop agent orchestration, RAG pipelines and tool/function calling in C#/.NET using Semantic Kernel or Microsoft Agent Framework
Integrate LLM capabilities into enterprise applications and services (APIs, event-driven architectures)
Build and maintain knowledge bases and retrieval layers with Azure AI Search, embeddings and vector stores
Implement evaluation of AI outputs (test datasets, quality metrics, prompt iteration) so solutions are measurable, not just plausible
Apply enterprise-grade security, identity (Microsoft Entra ID), networking and observability practices to AI workloads
Automate build, deployment and analysis workflows with Azure DevOps pipelines
Work embedded with client technical teams in an Agile / Scrum environment
Present progress, solutions and recommendations to international stakeholders in English
Document architectures, patterns and decisions, and propose continuous improvement

Requirements

What you’ll need

Proven experience as a .NET (C#) developer in enterprise environments
Hands-on experience building solutions with Azure OpenAI and/or Azure AI Foundry
Practical knowledge of LLM application patterns: RAG, agents, tool/function calling, prompt design and evaluation
Experience with Semantic Kernel, Microsoft Agent Framework or comparable AI orchestration frameworks
Solid grasp of the Azure platform: AI Search, App Service or Functions, DevOps, Entra ID
Strong analytical mindset and end-to-end solution design capabilities
Ability to work independently, from requirements gathering to delivery
Nice to have: Python for AI tooling and evaluation, Model Context Protocol (MCP), vector databases, GitHub Copilot ecosystem

Benefits

Comp & perks

Private health insurance (including dental care)
Flexible remuneration (meal vouchers, childcare, public transport/mobility)
Access to UDEMY Business platform with a wide range of online training content (certifications, courses, etc.)
Individual annual budget for training and certifications
Hybrid work policy with 1 day per week in the office
Flexible working hours, with shorter Fridays and summer hours in July and August