AI Systems Engineer

pCraftzing and Sagacify are looking for a Mid-Level AI Systems Engineer who is equally at home shipping an agent to production as debugging why it drifted three weeks later. Someone who does not see building AI systems and operating them as a trade-off, but as two things that make each other better. /ppDo you get energy from designing LLM-powered agents and RAG pipelines while staying just as sharp on monitoring, CI/CD and safe rollouts once they're live? Then you will probably feel right at home here. /ppWe're on the lookout for a bMid-Level AI Systems Engineer /b who bridges AI engineering and MLOps. Someone who loves getting hands-on with LLMs, agents, and RAG pipelines, and who cares just as much about what happens once a model reaches production as about building it in the first place. In this role, you'll design, build, deploy, and operate production-grade AI systems, with a strong focus on generative AI, LLM-based applications, and reliable machine learning operations. In practice your time is split roughly between 60-70% AI Engineering and 30-40% MLOps. /ppIn 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. /ph3What you'll do /h3pbAI Engineering (60-70%) /b /pulliOrchestrate AI system components: LLMs, vector databases, APIs, orchestration layers, and user interfaces /liliDevelop autonomous agents and conversational systems that can plan actions and interact with external tools or APIs /liliBuild and optimise RAG pipelines connecting enterprise data sources to LLMs for grounded, contextualised, reliable answers /liliEvaluate system quality through generative AI metrics, coherence tests, and production monitoring (latency, API costs, bias) /liliDeploy and scale solutions with strong attention to latency, security, reliability and cost efficiency /liliKeep an eye on the ecosystem for new models, frameworks and techniques, including open-source tools such as LangChain, LangGraph, Langfuse, etc. /liliPerform prompt and context engineering to improve output quality, reduce hallucinations, and manage conversational state effectively /li /ulpbMLOps (30-40%) /b /pulliBuild and maintain automation for model deployment, including CI/CD pipelines and automated testing /liliContinuously monitor model performance in production, including drift detection and quality metric tracking /liliManage updates of libraries, models, and related dependencies in production environments /liliEnsure versioning, reproducibility and safe rollout of models and AI services /liliCollaborate closely with ML engineers, developers, DevOps and infrastructure teams for smooth delivery /liliStay current with the latest MLOps practices, tools and platform components /li /ulpYou stay in the code, you stay curious about what happens after deployment, and you keep learning as you go. /ph3What you'll work with /h3pbCore technologies : /b /pulliPython /liliOpenAI API, Hugging Face Transformers /liliLangChain, LangGraph, Langfuse /liliFastAPI or Flask, Docker, Kubernetes, CI/CD pipelines /liliCloud GPU /liliAWS (S3, SQS, IAM, RDS, etc.) /liliCursor /li /ulpbBonus points for experience with : /b /pulliTypeScript /liliAzure /liliAI-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… /li /ulh3Who we're looking for /h3ulliYou have 3 to 5 years of experience in AI/ML engineering or related fields /liliYou have a solid understanding of LLM fundamentals: Transformers, attention mechanisms, generation parameters and fine-tuning approaches /liliYou have strong problem-solving ability and algorithmic creativity /liliYou communicate clearly with both technical and non-technical stakeholders /liliYou have a team spirit and enjoy collaborating across multiple roles /liliYou bring rigour, responsiveness and a good incident-handling mindset /liliYou're autonomous, curious, and quick to learn new tools /liliYou can communicate fluently in Dutch, English and French, or at least the first two languages /li /ulh3Why you'll love working here /h3pSagacify is part of Craftzing, and together we build AI solutions that create lasting impact for our clients. You will be part of a team of enthusiasts who love to learn, continuously develop new skills and fast-track our customers' AI journey across various industries. /ppAt Craftzing and Sagacify, you get the trust and space to do your best work
- in a human-sized environment with real team spirit, flexible working and room to take ownership. /p