Senior AI Engineer

pPlease note: You must be able to work from the bGhent office /b; 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 bAI-powered sales assistant for field sales reps /b, 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 pA non-exhaustive list of features and challenges we could use your help with: /p ul lipUsing best practices and industry-leading tools and technologies to solve real-life problems with LLM solutions. /p /li lipBuilding and improving agent harnesses, including context management, tool use, and feedback loops, to make our AI more reliable and useful. /p /li lipOwning 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. /p /li lipIntegrating and synthesising contextual data — including CRM data, call recordings, and emails — to enrich the LLM context and provide more accurate and personalised outputs. /p /li lipExploring 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. /p /li lipDeveloping algorithms for multilingual conversational systems. /p /li lipDeveloping and enhancing RAG systems to ensure high-quality and contextually appropriate responses. /p /li lipBuilding evaluations and observability to ensure AI outputs maintain a high standard of quality, accuracy, and relevance. /p /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 bco-founder CTO /b, 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 lipWe’re looking for someone passionate about LLMs, with at least b5 years of professional software engineering experience /b. /p /li lipYou have hands-on experience building and shipping bLLM-powered features in a software product /b. /p /li lipYou have experience with bTypeScript and Node.js /b. /p /li lipYou 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. /p /li lipYou’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. /p /li lipYou're able to break down big initiatives into small tasks, allowing for re-prioritisation as important opportunities arise. /p /li lipPersonal growth is important to you, and you have the ambition to thrive in a bstart-up culture /b. /p /li lipWe have global ambitions, so bfluency in English /b is a must. /p /li /ul