ML & GenAI Team Lead

Want to create a positive impact through AI?

Founded as one of the first AI companies in Belgium with a mission to create a meaningful impact, we are believers in automation and efficiency. We see Artificial Intelligence as a toolbox that will allow us to automate more of the growing list of tasks that no longer require human-level cognition.

We are a tech team specialising in AI engineering, LLM systems, and MLOps. At Sagacify, part of Craftzing, you will find a collaborative human-sized environment with a great team spirit where you can bring ideas and take responsibilities in the areas you want to evolve in, regardless of your level of experience. We strive to create innovative digital solutions with a lasting impact, in a fun atmosphere where remote work, flexible schedules and regular team events are part of our culture.

We are looking for skilled people and team players to join the adventure.

Your role :

We're on the lookout for a Mid-Level / Senior ML & GenAI Team Lead who is equally at home in pull requests as in people conversations. Someone who does not see leadership and technical depth as a trade-off, but as two things that make each other better. In this role, you will help build and steer a high-performing team of ML and AI Engineers, while staying an active contributor on client projects that actually ship. In practice your time is split roughly between 30% of leading the team and 70% of hands-on delivery.

In this role you sit at the intersection of working across teams, offices, and disciplines. You report to the Head of ML at Sagacify and collaborate closely with the Craftzing delivery organisation.

What you'll do :

Team leadership

• Lead, mentor and grow a team of five ML and AI Engineers
• Set and enforce quality standards, delivery frameworks and best practices
• Foster a culture of continuous learning, innovation and knowledge sharing
• Own key client relationships, ensuring satisfaction and long-term trust

AI Engineering

• Architect end-to-end AI applications orchestrating LLMs, vector databases and APIs
• Design and build autonomous agents and conversational systems
• Engineer and optimise RAG pipelines connecting enterprise data to LLMs
• Perform prompt and context engineering to improve output quality and reduce hallucinations
• Evaluate system quality through generative AI metrics and production monitoring
• Deploy and scale solutions with focus on latency, security and cost efficiency

MLOps

• Design and maintain CI/CD pipelines and automated testing for model deployment
• Monitor production models across drift, quality metrics and operational costs
• Ensure versioning, reproducibility and safe rollout of models and AI services
• Collaborate with DevOps and infrastructure teams for smooth delivery You stay in the code, you stay in the architecture and you also grow the people around you.

What you’ll work with :

Core technologies :

• Python
• OpenAI API, Hugging Face Transformers
• LangChain, LangGraph, Langfuse
• FastAPI or Flask, Docker, Kubernetes, CI/CD pipelines
• Cloud GPU
• AWS (S3, SQS, IAM, RDS, etc.)
• Cursor

Bonus points for experience with :

• TypeScript
• Azure
• AI-native engineering workflows: hands-on experience using AI coding agents and AI-assisted development environments (Cursor, Claude Code, Windsurf, Copilot, etc.), including context engineering, subagent orchestra…

About you :

• You have 5 to 9+ years of experience, including a minimum 2-3 years in a tech lead role in ML/AI projects
• You have excellent communication skills, you're able to present to C-level stakeholders and facilitating workshops comfortably
• You have strong organisational skills with the ability to manage multiple work-streams simultaneously
• You have the ability to coach and grow talent while remaining individually impactful on delivery
• You're curious and have a genuine passion for AI, with the ability to evaluate and adopt new tools quickly
• You can communicate fluently in Dutch, English and French, or at least the first two languages

Don’t worry if you don’t tick every single box, what matters most is the right mindset and a drive to learn. If you think we’re a match, we’d love to hear from you.

Why you will love working with us :

You'll be part of a team of enthusiasts who love to learn and continuously develop skills in different areas and technologies. You'll work with both the Sagacify and Craftzing teams, purposefully driven to create solutions that make a lasting difference, in an environment tailored to your needs.

Join us and contribute to the world of tomorrow by fast-tracking our customer’s AI journey in various industries.

• Snacks, fruits and unlimited coffee

• Net allowances, hospitalisation and group insurance

• Hybrid and flexible working culture

• Car & fuel or mobility budget

• Pleasant working environment

• Teambuildings and yearly holiday retreat

Recruiting process

• Interview with the Head of Talent & Culture and the Tech Lead

• Technical test

• Meeting with the team (to discover the reality of the position)

• Final interview & Offer