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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer - **Company:** Sparagus - **Location:** Brussel, Belgium - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** .NET Framework, Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Continuous Integration, Python (Programming Language), Metadata, Regression Testing, Search Technologies, Software Engineering, Systems Integration, Enterprise Search, Data Logging, Large Language Models, Multi-Agent Systems, Generative AI, Low Latency - **Published:** September 8, 2026 - **Apply:** https://www.collegerecruiter.com/job/2851201196-artificial-intelligence-engineer ## About the Role * Fluent in English and French or Dutch * Minimum 5 years of Software Engineering experience (Backend or Full Stack preferred) * 1-2 years of experience integrating LLMs or Generative AI into production software * Strong experience with: * Python * RAG * Embeddings * Vector Search * Retrieval optimisation * Experience with: * MCP * A2A * Tool Calling * Multi-Agent Workflows * Experience building maintainable services with: * Testing * Logging * CI/CD * Deployment * Knowledge of AI evaluation methodologies including: * Test datasets * Quality metrics * Regression testing * User feedback * Good understanding of cloud-native application development * Security-focused mindset when working with sensitive data * Strong communication skills with the ability to explain technical trade-offs * Ability to determine when AI is the right solution versus deterministic approaches Nice to Have * LangGraph * LangChain * Semantic Kernel * AI observability and evaluation tools * Azure Cloud * Microsoft AI ecosystem: * Semantic Kernel * Microsoft Agent Framework * Microsoft Foundry * Microsoft 365 Agents SDK * .NET / C# * Vector databases * Enterprise search platforms * Experience in regulated or security-sensitive enterprise environments ## Description Join a leading organization in the Energy & Utilities sector developing next-generation AI-centric applications. You will work within a software engineering team building production-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI assistants, and agentic workflows., * Design and implement AI-powered applications using LLMs, RAG, and agentic workflow patterns * Build backend services, APIs, and integrations supporting AI applications * Design and optimize retrieval pipelines including: * Chunking * Embeddings * Vector search * Hybrid search * Metadata filtering * Reranking * Work with LLM APIs and AI orchestration frameworks * Implement evaluation, testing, monitoring, and observability for AI applications * Define safe and practical patterns for: * Tool use * Human-in-the-loop approval * Agentic behaviour * Collaborate with software engineers, product teams, and business stakeholders * Support AI model and framework selection based on: * Quality * Cost * Latency * Maintainability * Security * Troubleshoot AI challenges including: * Hallucinations * Retrieval quality * Latency * Cost optimisation * Output reliability ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Best practices: Building Enterprise Applications that leverage GenAI](https://www.wearedevelopers.com/videos/1513-best-practices-building-enterprise-applications-that-leverage-genai) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)