Senior AI Engineer

pPlease note: You must be able to work from the /p pbCompany: /b Confidential /p h3About The Role /h3 pPlease note: You must be able to work from the Ghent office; this is not a remote position. /p h3The Role /h3 pAs a Senior AI Engineer, you'll be a vital part of our team, working together to build an AI-powered sales assistant for field sales reps, empowering them to focus on what they do best: selling. /p pExpect to navigate a wide range of challenges, including building reliable agent harnesses, managing context, orchestrating multiple AI agents, and implementing advanced RAG systems. You’ll combine technical depth with a strong feel for how AI should work for users. /p pYou’ll join an ambitious and fast-growing team, with the opportunity to shape the product and learn from experienced serial entrepreneurs. /p pIf you're ready to make a significant impact in a growing company with global ambitions, this could be the right opportunity for you. /p h3What You’ll Be Doing /h3 ul liUsing best practices and industry-leading tools and technologies to solve real-life problems with LLM solutions. /li liBuilding and improving agent harnesses, including context management, tool use, and feedback loops, to make our AI more reliable and useful. /li liOwning features from understanding the user’s problem through scoping, building, and rollout. You’ll make product and technical trade-offs with input from Product, Design, colleagues, and users. /li liIntegrating and synthesising contextual data
- including CRM data, call recordings, and emails
- to enrich the LLM context and provide more accurate and personalised outputs. /li liExploring the data captured by the product to uncover patterns and opportunities, and experimenting with ways to turn them into useful insights and better experiences for users. /li liDeveloping algorithms for multilingual conversational systems. /li liDeveloping and enhancing RAG systems to ensure high-quality and contextually appropriate responses. /li liBuilding evaluations and observability to ensure AI outputs maintain a high standard of quality, accuracy, and relevance. /li /ul pWe believe in shipping fast to gather feedback quickly from customers. We like to keep things simple, so we use services offered by key vendors where they help. You’ll track usage, follow up on feedback and bugs, and keep improving until the feature delivers value. /p pYou’ll report directly to the co-founder CTO, while working closely with other departments and customers to define feature requirements and make trade-offs that maximise value while minimising complexity. /p h3Job Requirements /h3 ul liWe’re looking for someone passionate about LLMs, with at least 5 years of professional software engineering experience. /li liYou have hands-on experience building and shipping LLM-powered features in a software product. /li liYou have experience with TypeScript and Node.js. /li liYou have a feel for AI interaction design: how an AI should behave, communicate uncertainty, and give users the right level of control. You use that judgment to make thoughtful product decisions. /li liYou’re curious about the data behind the product and the possibilities it opens up. You enjoy exploring patterns, asking new questions, and finding useful applications while staying critical about what the evidence actually supports. /li liYou’re able to break down big initiatives into small tasks, allowing for re-prioritisation as important opportunities arise. /li liPersonal growth is important to you, and you have the ambition to thrive in a start-up culture. /li liWe have global ambitions, so fluency in English is a must. /li /ul h3Interview process /h3 ul liShortlisted /li li1st stage /li liOffer sent /li /ul