{"schemaVersion":"jobsearcher.job.v1","id":"c546143ef030d5fec0bfb429","url":"https://jobsearcher.com/jobs/c546143ef030d5fec0bfb429","canonicalUrl":"https://jobsearcher.com/jobs/c546143ef030d5fec0bfb429","title":"AI Systems Engineer","description":"Want to create a positive impact through AI?\nFounded 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.\n\nWe are a tech team specialising in AI engineering, LLM systems, and MLOps. At Sagacify, part of Craftzing, you will find a collaborative human‑size 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.\n\nWe are looking for skilled people and team players to join the adventure.\n\nYour role :\nWe're on the lookout for a Mid-Level AI Systems Engineer 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.\n\nIn 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.\n\nWhat you'll do :\nAI Engineering (60-70%)\n\nOrchestrate AI system components: LLMs, vector databases, APIs, orchestration layers, and user interfaces\n\nDevelop autonomous agents and conversational systems that can plan actions and interact with external tools or APIs\n\nBuild and optimise RAG pipelines connecting enterprise data sources to LLMs for grounded, contextualised, reliable answers\n\nEvaluate system quality through generative AI metrics, coherence tests, and production monitoring (latency, API costs, bias)\n\nDeploy and scale solutions with strong attention to latency, security, reliability and cost efficiency\n\nKeep an eye on the ecosystem for new models, frameworks and techniques, including open‑source tools such as LangChain, LangGraph, Langfuse, etc.\n\nPerform prompt and context engineering to improve output quality, reduce hallucinations, and manage conversational state effectively\n\nMLOps (30-40%)\n\nBuild and maintain automation for model deployment, including CI/CD pipelines and automated testing\n\nContinuously monitor model performance in production, including drift detection and quality metric tracking\n\nManage updates of libraries, models, and related dependencies in production environments\n\nEnsure versioning, reproducibility and safe rollout of models and AI services\n\nCollaborate closely with ML engineers, developers, DevOps and infrastructure teams for smooth delivery\n\nStay current with the latest MLOps practices, tools and platform components\n\nYou stay in the code, you stay curious about what happens after deployment, and you keep learning as you go.\n\nWhat you’ll work with :\nCore technologies :\n\nPython\n\nOpenAI API, Hugging Face Transformers\n\nLangChain, LangGraph, Langfuse\n\nFastAPI or Flask, Docker, Kubernetes, CI/CD pipelines\n\nCloud GPU\n\nAWS (S3, SQS, IAM, RDS, etc.)\n\nBonus points for experience with :\n\nTypeScript\n\nAzure\n\nAI-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…\n\nAbout you :\n\nYou have 3 to 5 years of experience in AI/ML engineering or related fields\n\nYou have a solid understanding of LLM fundamentals: Transformers, attention mechanisms, generation parameters and fine‑tuning approaches\n\nYou have strong problem‑solving ability and algorithmic creativity\n\nYou communicate clearly with both technical and non‑technical stakeholders\n\nYou have a team spirit and enjoy collaborating across multiple roles\n\nYou bring rigour, responsiveness and a good incident‑handling mindset\n\nYou're autonomous, curious, and quick to learn new tools\n\nYou can communicate fluently in Dutch, English and French, or at least the first two languages\n\nDon’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.\n\nWhy you will love working with us :\nYou’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.\n\nJoin us and contribute to the world of tomorrow by fast‑tracking our customer’s AI journey in various industries.\n\nSnacks, fruits and unlimited coffee\n\nNet allowances, hospitalisation and group insurance\n\nHybrid and flexible working culture\n\nCar & fuel or mobility budget\n\nPleasant working environment\n\nTeambuildings and yearly holiday retreat\n\nRecruiting process\n\nInterview with the Head of Talent & Culture and the Tech Lead\n\nTechnical test\n\nMeeting with the team (to discover the reality of the position)\n\nFinal interview & Offer\n\n#J-18808-Ljbffr","company":"Sagacify","rawCompany":"sagacify","city":"Cedar Grove","state":"WI","isRemote":false,"isActive":true,"createdAt":"2026-07-26T03:15:35.838Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Systems Engineer","description":"Want to create a positive impact through AI?\nFounded 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.\n\nWe are a tech team specialising in AI engineering, LLM systems, and MLOps. At Sagacify, part of Craftzing, you will find a collaborative human‑size 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.\n\nWe are looking for skilled people and team players to join the adventure.\n\nYour role :\nWe're on the lookout for a Mid-Level AI Systems Engineer 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.\n\nIn 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.\n\nWhat you'll do :\nAI Engineering (60-70%)\n\nOrchestrate AI system components: LLMs, vector databases, APIs, orchestration layers, and user interfaces\n\nDevelop autonomous agents and conversational systems that can plan actions and interact with external tools or APIs\n\nBuild and optimise RAG pipelines connecting enterprise data sources to LLMs for grounded, contextualised, reliable answers\n\nEvaluate system quality through generative AI metrics, coherence tests, and production monitoring (latency, API costs, bias)\n\nDeploy and scale solutions with strong attention to latency, security, reliability and cost efficiency\n\nKeep an eye on the ecosystem for new models, frameworks and techniques, including open‑source tools such as LangChain, LangGraph, Langfuse, etc.\n\nPerform prompt and context engineering to improve output quality, reduce hallucinations, and manage conversational state effectively\n\nMLOps (30-40%)\n\nBuild and maintain automation for model deployment, including CI/CD pipelines and automated testing\n\nContinuously monitor model performance in production, including drift detection and quality metric tracking\n\nManage updates of libraries, models, and related dependencies in production environments\n\nEnsure versioning, reproducibility and safe rollout of models and AI services\n\nCollaborate closely with ML engineers, developers, DevOps and infrastructure teams for smooth delivery\n\nStay current with the latest MLOps practices, tools and platform components\n\nYou stay in the code, you stay curious about what happens after deployment, and you keep learning as you go.\n\nWhat you’ll work with :\nCore technologies :\n\nPython\n\nOpenAI API, Hugging Face Transformers\n\nLangChain, LangGraph, Langfuse\n\nFastAPI or Flask, Docker, Kubernetes, CI/CD pipelines\n\nCloud GPU\n\nAWS (S3, SQS, IAM, RDS, etc.)\n\nBonus points for experience with :\n\nTypeScript\n\nAzure\n\nAI-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…\n\nAbout you :\n\nYou have 3 to 5 years of experience in AI/ML engineering or related fields\n\nYou have a solid understanding of LLM fundamentals: Transformers, attention mechanisms, generation parameters and fine‑tuning approaches\n\nYou have strong problem‑solving ability and algorithmic creativity\n\nYou communicate clearly with both technical and non‑technical stakeholders\n\nYou have a team spirit and enjoy collaborating across multiple roles\n\nYou bring rigour, responsiveness and a good incident‑handling mindset\n\nYou're autonomous, curious, and quick to learn new tools\n\nYou can communicate fluently in Dutch, English and French, or at least the first two languages\n\nDon’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.\n\nWhy you will love working with us :\nYou’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.\n\nJoin us and contribute to the world of tomorrow by fast‑tracking our customer’s AI journey in various industries.\n\nSnacks, fruits and unlimited coffee\n\nNet allowances, hospitalisation and group insurance\n\nHybrid and flexible working culture\n\nCar & fuel or mobility budget\n\nPleasant working environment\n\nTeambuildings and yearly holiday retreat\n\nRecruiting process\n\nInterview with the Head of Talent & Culture and the Tech Lead\n\nTechnical test\n\nMeeting with the team (to discover the reality of the position)\n\nFinal interview & Offer\n\n#J-18808-Ljbffr","datePosted":"2026-07-26T03:15:35.838Z","dateModified":"2026-07-26T03:15:35.838Z","hiringOrganization":{"@type":"Organization","name":"Sagacify","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cedar Grove","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c546143ef030d5fec0bfb429"},"url":"https://jobsearcher.com/jobs/c546143ef030d5fec0bfb429"}}