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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed AI Engineer - **Company:** Keyrus Belgium - **Location:** Grimbergen, Belgium - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Node.Js, Open Source Technology, Search Technologies, Software Deployment, Software Engineering, Software Systems, Enterprise Software Applications, ReactJS, Large Language Models, Git, Information Technology, Machine Learning Operations, Front End Software Development, Docker - **Published:** July 26, 2026 - **Apply:** https://be.indeed.com/viewjob?jk=cec5b2a4d895f1aa ## About the Role You are a hands-on engineer who thinks like an architect and acts like a builder. You are comfortable working closely with the client, the problem, and the delivery, and you make sound decisions in complex, evolving environments. * You enjoy solving operational challenges, not only exploring technical concepts. * You communicate clearly with both technical teams and senior business stakeholders. * You navigate ambiguity with confidence, validate assumptions, and adapt quickly. * You take ownership of outcomes and raise risks or changing priorities early. * You understand that AI value depends on the full system: data, workflows, governance, adoption, and measurement. * You naturally look for what can be reused, improved, and scaled., * Typically 5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting. * Hands-on experience delivering AI, GenAI, or software solutions into production. * Experience working directly with clients or in complex stakeholder environments. * Evidence of turning complex use cases into adopted measurable solutions. - A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field - or equivalent practical experience. Technical Skills * Strong Python development skills, API integration experience, and modern software-engineering practices. * Hands-on experience with Large Language Models, GenAI architectures, prompt workflows, and model/provider selection. * Experience with RAG, embeddings, vector search, AI agents, and agentic workflows. * Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools. * Experience integrating AI into enterprise systems, APIs, and business workflows. * Experience with at least one major cloud platform: Azure, AWS, or GCP. * Working knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation. * Understanding of MLOps / LLMOps, security, data privacy, governance, and responsible AI principles. Nice-to-haves * Experience with multimodal models, fine-tuning, model adaptation, or open-source LLMs. * Front-end or full-stack development experience, for example, Node.js or React. * Consulting or professional-services experience. * Exposure to regulated industries or enterprise governance requirements. What makes you succesful * You combine technical credibility, pragmatism, and end-to-end ownership. - You focus on real-world outcomes, adoption, and measurable value - not only the solution itself. * You move quickly while balancing speed, quality, cost, and risk. * You build trust and become a reliable partner in complex client environments. * You operate effectively under pressure in client environments, where progress and results are continuously visible. * You know when to go deep technically and when to orchestrate the right expertise. * You continuously improve, reuse, and scale what works across engagements. ## Description As a Forward Deployed AI Engineer, you work at the heart of a client's most pressing AI challenges, turning intent into an operational, measurable result in weeks rather than months. This is an experienced individual-contributor role for someone who combines hands-on engineering, architectural judgment, and business understanding. You own the problem from ambiguity through to execution - understanding the real context, building and deploying the solution, and proving, not declaring, that it creates value. Once the terrain is understood, you become the reference the team relies on to make that result last. Your responsibilities * Co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery. * Locate, qualify, and secure access to the data required for each use case, working directly with the Data Engineer * Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows. * Prototype, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts. * Work with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes. * Balance speed, quality, cost, security, and maintainability while making clear technical and delivery trade-offs. * Define success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value. * Ensure solutions are documented, governed, and transferable so clients can operate them with confidence. * Turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements., A generous training budget is available to help foster a culture where learning, feedback and continuous improvement is the norm You will have a dedicated coach, benefit from regular check-ins, learn via different communities and have clear alignment with your team and company goals We want you to grow with confidence. We therefore place a strong emphasis on ownership, open feedback and continuous development. When people feel trusted, connected and inspired, they do their best work! Rewards Mobility budget? Car with fuel or charging car? We offer both so you can choose! On top of that we also have daily and monthly net allowances, eco vouchers, hospitalisation (DKV) insurance and group insurance, as well as a generous bonus scheme that you can use on our flexible reward plan. What We Stand For Collective Intelligence - Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges. Reliability - The ability to deliver complex projects with rigour is one of the pillars of our client relationship. Pragmatism - Prioritising concrete impact and measurable value over abstract technological discourse. Entrepreneurial Spirit - Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation. Our Hiring Process We keep our process straightforward and respect candidates' time. The local process should normally include: * A conversation with the Talent team to discuss the candidate's background, expectations, and what Keyrus can offer. * A technical and delivery-focused conversation with the hiring team, using a real or representative challenge. * A final conversation with senior leadership or the relevant business lead to discuss values, culture, and longer-term ambitions. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)