Software Engineer – Generative AI / AI Applications

Software Engineer – Generative AI / AI Applications

Industry: Energy & Utilities

Location: Brussels, Belgium

Work Model: Hybrid / Remote work policy applicable

About the Role

A leading organization in the European energy sector is looking for an experienced Software Engineer with strong Generative AI expertise to join a software engineering team developing AI-centric applications.

This is a hands-on engineering position combining strong software development capabilities with practical experience in LLMs, RAG, AI assistants and agentic workflows. You will design and build production-quality AI applications while helping establish reliable, secure and maintainable AI engineering practices.

Key Responsibilities

• Design and implement AI-powered applications using LLMs, RAG and agentic workflow patterns
• Develop backend services, APIs and integrations supporting AI applications
• Design and optimize retrieval pipelines, including chunking, embeddings, vector search, hybrid search, metadata filtering and reranking
• Work with LLM APIs and AI orchestration frameworks
• Implement evaluation, testing, monitoring and observability for AI applications
• Define safe and practical approaches to tool use, human-in-the-loop approval and AI agents
• Collaborate closely with software engineers and business/product stakeholders
• Evaluate models and frameworks based on quality, cost, latency, maintainability and security
• Troubleshoot challenges such as hallucinations, retrieval quality, latency, cost and unreliable AI outputs

Your Profile

• 5+ years of experience as a Software Engineer, preferably in backend or full-stack development
• 1–2+ years of hands-on experience integrating LLMs or Generative AI services into software applications
• Strong programming skills in Python
• Practical experience with RAG, embeddings, vector search and retrieval optimization
• Experience with MCP, A2A, tool calling and/or multi-agent workflows
• Strong understanding of maintainable software engineering practices, including testing, logging, CI/CD and deployment
• Experience with AI application evaluation, including test datasets, quality metrics, regression testing and user feedback
• Good understanding of cloud-native application development
• Security-conscious approach when working with internal or sensitive data
• Ability to make pragmatic decisions about when to use AI, RAG or agents versus deterministic solutions

Nice to Have

• LangGraph, LangChain or Semantic Kernel
• AI observability and evaluation tools
• Microsoft Azure
• Microsoft AI ecosystem: Semantic Kernel, Microsoft Agent Framework, Microsoft Foundry or Microsoft 365 Agents SDK
• .NET / C#
• Vector databases or enterprise search platforms
• Experience within regulated, security-sensitive or enterprise environments

Languages

Fluent English combined with fluent French OR Dutch.