SAGACIFY - AI Systems Engineer

BETUNED
Antwerpen, Belgium
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Languages
Dutch, English, French
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests DevOps Machine Learning Open Source Technology Management of Software Versions Large Language Models AI Platforms Low Latency Machine Learning Operations

Job description

In this role you sit at the intersection of engineering and operations, working across teams and disciplines. You’ll report to the Head of ML at Sagacify and collaborate with the wider Sagacify and Craftzing delivery organisation. A role that can naturally grow towards a Team Lead position over time., * Orchestrate AI system components: LLMs, vector databases, APIs, orchestration layers, and user interfaces

  • Develop autonomous agents and conversational systems that can plan actions and interact with external tools or APIs
  • Build and optimise RAG pipelines connecting enterprise data sources to LLMs for grounded, contextualised, reliable answers
  • Evaluate system quality through generative AI metrics, coherence tests, and production monitoring (latency, API costs, bias)
  • Deploy and scale solutions with strong attention to latency, security, reliability and cost efficiency
  • Keep an eye on the ecosystem for new models, frameworks and techniques, including open-source tools such as LangChain, LangGraph, Langfuse, etc.
  • Perform prompt and context engineering to improve output quality, reduce hallucinations, and manage conversational state effectively

MLOps (30-40%)

  • Build and maintain automation for model deployment, including CI/CD pipelines and automated testing
  • Continuously monitor model performance in production, including drift detection and quality metric tracking
  • Manage updates of libraries, models, and related dependencies in production environments
  • Ensure versioning, reproducibility and safe rollout of models and AI services
  • Collaborate closely with ML engineers, developers, DevOps and infrastructure teams for smooth delivery
  • Stay current with the latest MLOps practices, tools and platform components

You stay in the code, you stay curious about what happens after deployment, and you keep learning as you go.

Requirements

  • You have 3 to 5 years of experience in AI/ML engineering or related fields
  • You have a solid understanding of LLM fundamentals: Transformers, attention mechanisms, generation parameters and fine-tuning approaches
  • You have strong problem-solving ability and algorithmic creativity
  • You communicate clearly with both technical and non-technical stakeholders
  • You have a team spirit and enjoy collaborating across multiple roles
  • You bring rigour, responsiveness and a good incident-handling mindset
  • You’re autonomous, curious, and quick to learn new tools
  • 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.

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.

About the company

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

You’ll get :

  • 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.vdab.be

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