AI Solutions Engineer

pOper, a European Fintech company, is a leader in cloud-based digital mortgage software. We provide personalized journeys for borrowers and lenders. Oper's technology streamlines the mortgage application process, eliminates paperwork, and increases transparency. /p pThe fastest growing part of our business is bHerman /b, our AI agent for mortgage origination. Herman reads documents, checks them, and works a credit file the way an analyst would, inside the regulated workflow of a real bank. It runs on sovereign EU infrastructure, because our clients cannot send mortgage data anywhere else. Phase by phase, it automates more of the origination process: first employed borrowers, then the self-employed, and onward. This is not a chatbot bolted onto old software. It is agentic software doing real work in a regulated environment. /p pA passionate and engaging team of around 30 stellar Fintech operators works vigorously to transform European mortgages by enhancing efficiency and alleviating borrower anxiety. Backed by Bessemer Venture Partners and Motive Ventures, we have raised EUR 14 million, placing Oper at the forefront of revolutionizing mortgages in Europe. Oper currently has offices in Zurich, Switzerland, and Antwerp, Belgium. /p pNow, we're looking for an bAI Solutions Engineer /b to join our bAI Squad /b and help shape the future of automated mortgages in Europe and beyond. /p pbYour Mission /b /p pYou'll join the bAI Squad /b, the team building Herman. This is a hands-on, hybrid role spanning bAI engineering, product management, and solutions architecture /b. You'll scope and build working AI prototypes, take them in front of real banks to pressure-test against live mortgage workflows, and work alongside the team to turn these into working Herman features. You own delivery end-to-end: from a rough use case to a shipped capability, communicating progress clearly the whole way. This is an bapplied /b role, not a research one. We want a builder who can both code and collaborate, who is comfortable in front of a client in the morning and deep in a codebase in the afternoon. /p pbTasks /b /p pbWhat you'll do /b /p ul libScope and build working AI prototypes /b
- LLMs, RAG, agentic automation, and integrations
- that solve concrete origination problems. /li libEngage directly with clients /b: run workshops, gather requirements, demo, and iteratively refine solutions against the real workflows of regulated banks. /li libDefine and manage AI use cases /b, structuring them functionally so they can scale beyond a single client. /li liWork closely within your team to turn validated prototypes into production features. /li liOwn delivery timelines and communicate progress clearly to both clients and internal stakeholders. /li /ul pbWork AI-native /b /p pBuilding agentic software is the job, and we expect you to build the way you ship: AI-first. /p ul liWrite code AI-first: agents produce the bulk of your code under your direction, while you own the architecture, integrations, review, and quality. We measure your output in shipped value, not hand-typed lines. /li liBuild bagentic workflows /b that do real work: scaffolding prototypes and integrations from a spec, generating and running tests, drafting evaluation harnesses, and reviewing diffs. /li liUse modern AI tooling as the default way you build, configure, and debug, not as an occasional helper. /li liAim for a delivery cadence a non-AI-native engineer simply cannot match, and help us raise the bar on what an AI-native delivery function looks like at Oper. /li /ul pbRequirements /b /p pbWhat you'll bring /b /p ul li4 to 6 years of experience in software development, with hands-on AI/LLM work. /li liStrong with bPython /b and modern AI tooling: bLLMs, RAG, agent frameworks, orchestration, and evaluation /b. /li liAble to bstructure projects functionally /b and bown delivery end-to-end /b, from scoping to shipped feature. /li liComfortable being bclient-facing /b: running workshops, gathering requirements, and translating ambiguity into working software. /li liComfortable working with flexible and loosely defined requirements, bringing your own structure where needed. /li libGenuinely AI-native /b: agents already write most of your code and you build agentic workflows to multiply your output. You can name the tools, the workflows, and the concrete recent projects where AI gave you real leverage. /li liCreative and analytical mindset. /li liAmbition to learn, experiment, and grow while staying humble and open-minded. /li liFluency in English; additional languages (e.g. Dutch, German) are a plus. /li liExperience in a relevant industry (financial services) and thriving in a scale-up environment are a plus. /li /ul pThis is an applied, client-facing, cross-functional role. We are bnot /b looking for researchers, "idea people," or internal-only engineers. /p pbLocation Setup /b /p ul libBelgium-based /b candidates: hybrid setup with 2 to 3 days per week in our bAn