
Experienced AI Engineer
- On-site, Hybrid
- Ghent, Vlaams Gewest, Belgium
- Engineering
Job description
Role: AI Engineer
Scope: Design and scale our systems from the ground up to make an AI foundation possible
Level: Medior-Senior
Location: Ghent, Belgium or remotely within the EU
Timing: ASAP
Who are we and why should you care?
Teamleader is a SaaS scale-up born in 2012 in Ghent, Belgium, and part of the Visma Group since 2022. Our mission? To make work easier, not harder, for small and medium-sized businesses.
Here’s what we bring to the table:
Teamleader Focus: the all-in-one tool that helps small businesses optimise CRM, projects, and invoicing.
Teamleader One: the go-to e-invoicing software that self-employed pros can count on.
We’ve also been growing smarter through strategic acquisitions:
Teamleader Orbit (2019): helping medium-sized agencies thrive and scale.
Vectera (2022): powering seamless customer meetings.
Dexxter (2024): making financial admin a breeze for freelancers.
Curious to learn more about us, our products, and why you’ll love working at Teamleader? Check us out here.
We're looking for an AI Engineer to join us on our mission
We’re building the AI foundation for our SaaS platform — empowering thousands of users with intelligent, context-aware automation and insights.
As an experienced AI Engineer, you’ll help us design and scale the systems that make this possible from the ground up: LLM infrastructure, retrieval pipelines, agentic workflows, and evaluation frameworks that ensure performance, safety, and reliability across our products.
AI Systems & Infrastructure
Own the AI gateway (Node/TypeScript): design, build, and operate a service that exposes stable, versioned endpoints for our PHP product teams.
Build and operate MCP servers/clients: expose internal tools and data safely via Model Context Protocol; define resources/tools/prompts, permissioning, and schemas; integrate MCP clients into our AI flows.
Agentic workflows: design tool/function schemas and light agent flows (e.g., planner → tools → verifier); implement robust tool-calling, retries, and state/checkpointing.
RAG done right: model, chunk, embed, and index domain data; wire up vector search; enforce tenant isolation, freshness, and access control.
Chat runtime & streaming UX: deliver low-latency streaming responses and tool results; support multimodal/realtime where it adds value; ensure graceful timeouts and fallbacks.
ML Fundamentals, MLOps & Observability
Evaluation & observability: instrument tracing and metrics, maintain golden datasets, run CI/PR-time evals, and A/B tests to quantify quality, latency, and cost.
Operate at scale: monitor error budgets and spend; add prompt/response caching and degradation strategies; use queues/events for async work.
Knowledge of ML fundamentals: Model development, fine-tuning, training pipelines, model evaluation, retraining strategies are a big plus.
Engineering & Collaboration
Raise the bar: review code and prompts, improve docs/runbooks, mentor teammates, and share reusable patterns.
Contracts with PHP services: define typed DTOs (OpenAPI/zod), version APIs, provide a small PHP client/SDK, and implement caching, timeouts, and circuit breakers on both sides.
Collaborate cross-functionally with product managers, designers, and other engineering guilds to define and ship AI-driven product capabilities.
Contribute to best practices for AI safety, privacy, and responsible use: apply input/output validation, PII redaction, policy checks, jailbreak/abuse mitigations, and auditability across tenants.
Why others chose Teamleader: we're lively, not corporate
We have the energy and boldness of a start-up and the expertise and pragmatism of a scale-up. The result: a team of both young and seasoned professionals led by supportive and approachable managers who give recognition and rewards for hard work. You’ll be working in a fast-paced tech environment with open feedback culture and room for initiatives as well as ideas. You’ll have plenty of room to apply your personality, express yourself, and impact our course of action with your insights or ideas. Curious to learn more about us, our products, and why you’ll love working at Teamleader? Check us out here.
On top of that, you’ll get:
An extensive training budget.
A hybrid working model: a pleasant mix of office and home working.
A personal tooling budget, to make working from home as comfortable as from our offices.
Daily budget-friendly in-house prepared lunch and dinner options, as well as Friyays and numerous sport initiatives!
Competitive and market-conform salary with compensations and benefits.
32 holidays on top of the standard public ones! (based on full-time employment).
Our long-lasting dedication to employee well-being, just take a look at our career page and Instagram to see how we keep the Team(leader) spirit going.
We value diversity
Our ambition is to build and sell a product that helps everyone everywhere (starting with Europe) to work smarter, so we want our team to reflect that. We believe that a diverse, inclusive working environment is crucial to realise that ambition, so we’re committed to continue to build and cherish a culture where every colleague feels welcome, appreciated and heard.
Job requirements
You’d be a great fit for this role, if you:
Have 3-5 years building backend services with Node/TypeScript, including production APIs and integrations.
Have shipped LLM features: RAG, tool/function calling, agent workflows, and streaming chat.
Big plus if you have experience building MCP servers/clients and integrating them into real product flows.
Are comfortable with vector databases, MySQL, Redis, and queues/events—and can reason about latency, throughput, and cost.
Design clean contracts and versioned APIs; you write tests across unit/integration/e2e plus eval suites.
Care about safety, privacy, and multi-tenant access control; you document risks and mitigations.
Communicate clearly, collaborate well with product/design and PHP guild, and write/speak fluent English.
You’ll be at the core of our AI strategy, shaping how AI is embedded across our SaaS products.
We offer you a fast-moving, high-impact environment where you’ll ship features used daily by thousands of customers.
Autonomy, ownership, and learning: freedom to experiment with new models, frameworks, and tools.
A culture that values continuous growth, positive mindset, team spirit..etc
Nice to have: PHP literacy (able to read code and make small integration PRs), Python for ML-heavier sidecars when needed and Realtime voice (WebRTC/WebSocket) and streaming UX experience.
Interested? Questions? Get in touch!
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All done!
Your application has been successfully submitted!
Can't wait to discover what your future team looks like?
Go full Sherlock Homes on our Meet our team page. We believe that getting to know your potential colleagues is an essential part of the hiring process, and we're excited to introduce you to the people who could be your future teammates.
What's next?
Ready to embark on an exciting journey? Let's dive into the application process and discover who you'll be meeting along the way!






