AI Software Engineer in Brussels / Salary : we're listening to you !

• Computer Science graduate or self-taught
• 5+ years of software engineering experience, including 1-2 years shipping production-grade AI systems (LLMs, agentic workflows, RAG, evals). Startup experience is a plus.
• Hands-on experience building or working with AI systems: LLMs, agentic workflows, RAG pipelines, or similar.
• Hands-on experience building MCPs.
• Technical skills:Strong Python knowledge; SQL and TypeScript are a plus.
• Familiarity with databases (PostgreSQL, MySQL) and modern tooling (Docker).
• A genuine interest in business logic: integrations touch financial tools, so understanding the logic before coding is essential.
• Curiosity and a love of challenges; you want a solid overall understanding of the technologies involved.
• Startup mindset: the environment is more “rock and roll” than corporate - open-minded, resourceful, curious, and a strong team player.
• Ownership and a “doer” spirit: the small size of the team means you’ll take the lead on multiple topics.
• Languages: Native French required; English and Dutch are a plus.

• The experience of a young, fast-growing tech startup with a great team atmosphere
• Flexible working hours and a mix of office/remote work
• An attractive package: salary, meal vouchers, eco-vouchers, mobility budget, flexible vacation days, and more
• Potential access to equity in the next funding round
• A friendly company culture: after-work drinks, team lunches, and celebrations for every milestone

Our client is a fast-growing Belgian start-up in the financial software integrations space, with the ambition of becoming the European leader in its field by 2027.

Joining this team means being one of the early builders of an ambitious project, working directly alongside one of the co-founders, and having a real impact on a product used daily by clients.

Your mission

As an AI Software Engineer, you will be at the heart of the company’s mission to revolutionize software integrations for businesses across Europe. You’ll lead AI-focused engineering projects end-to-end, from designing agentic workflows to building highly available API/MCP infrastructure.

You’ll work closely with a talented, dynamic team, with real ownership over your technical challenges - a role built for someone who wants to deepen their backend expertise, take on responsibility, and grow in a fast-paced startup environment.

️ Your responsibilities

You’ll work across three fronts: the product, the integrations, and the tooling that lets the team build faster than the market.

• Build LLM-powered features inside the product: mapping suggestions, anomaly detection, intelligent monitoring, error recovery, smarter onboarding. You’ll spot where AI genuinely improves the client experience and turn those into shipped features, not demos.
• Design the best architecture for highly available and scalable APIs/MCPs.
• Make integrations agentic: move from deterministic syncing to flows that can reason, recover from errors, and reduce the manual mapping work clients dread today. You’ll lead that shift end-to-end, from architecture to production.
• Automate how connectors are built and maintained: with 120+ connectors today and the ambition to reach hundreds, you’ll build the AI-powered tooling that lets a small team ship and maintain that scale - connector generation, automated testing against real APIs, documentation that stays in sync with the code.
• Set the technical bar for AI across the company: evals, prompt versioning, telemetry on agentic flows, safety and cost guardrails. You’ll define the practices the rest of the engineering team follows when putting LLMs into production.