AI Engineer (Semantic Kernel/Microsoft Agent Framework) at SQLI France

Valencia, Valencian Community, Spain -

Full Time

Start Date

Immediate

Expiry Date

12 Oct, 26

Salary

50000.0

Posted On

14 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C#, .NET, Azure OpenAI, Azure AI Foundry, Semantic Kernel, Microsoft Agent Framework, RAG, LLM Orchestration, Azure AI Search, Azure DevOps, Microsoft Entra ID, Prompt Design, Vector Databases, Agile, Scrum, API Integration

Industry

IT Services and IT Consulting

Description

Descripción de la empresa SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise. With 2,200 people across 12 countries, we’re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking. Descripción del empleo We are looking for an AI Engineer with a strong Microsoft technology background. He/She will play a key role in designing, building and operating AI-powered applications within the Azure ecosystem, working side by side with client teams to bring enterprise AI use cases from concept to production. He/She will combine solid .NET engineering practices with modern AI application patterns (agents, RAG, LLM orchestration) to deliver solutions that client teams can understand, operate and evolve. What is this all about? * 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 Requisitos * 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 Información adicional Permanent contract Competitive salary Flexible remuneration (meal vouchers, childcare, public transport/mobility) Private health insurance (including dental care) 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 Job Category.: Developement Type of contract: Permanent contract Name on Job Ad: SQLI Remuneración: EUR 40000 - EUR 50000 - anualmente

Responsibilities

Design and build AI-powered applications and agents using the Azure AI stack and .NET engineering practices. Integrate LLM capabilities into enterprise services and implement evaluation metrics to ensure measurable AI outputs.