JUPUS
Engineering Manager | Applied AI

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Engineering Manager for AI
We're looking for an Engineering Manager to own AI at one of the fastest-growing AI legal tech companies in Europe. Over 2,000 lawyers use JUPUS every day, and the AI behind it is already in production and already in front of customers. You'd own the team, the technical roadmap, and the standard everything gets built to.
You'll report to our Head of Engineering and lead our AI team. This is a leadership role, not a senior engineering seat with a lead title. You won't be shipping features yourself, and that's deliberate - we want someone whose leverage comes from the team they build and the calls they make.
Your Challenge and Opportunity in This Role
Legal work is document-heavy, judgement-heavy, and almost untouched by AI. We've trained on over a million German court rulings and handled over a million cases, so the hard part isn't proving AI belongs here. The hard part is doing it well enough that a lawyer will put their professional judgement behind the output.
Your job is to make that repeatable. The field throws up something new every week and most of it is noise. We need someone who can tell the difference, turn that judgement into a roadmap, and build a team that can actually deliver it.
Tasks
Leading the team
- Make the team better than you found it: hire, mentor, and raise the bar on what good looks like here. Your impact shows up in what they ship when you're not in the room.
- Set the engineering standard for AI work: evaluation, testing and observability, and a delivery rhythm that holds up when the pressure is on.
- Own delivery at startup pace, without trading away the accuracy lawyers depend on.
Reasons to use Rodeo
Iβm in my final year doing Economics and I donβt know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer β it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) donβt need a masters. Letβs look at the ones youβd be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet β that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant β 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
Youβve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon β deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme β client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right β and where to focus when applying.
Direction and roadmap
- Own the technical roadmap: architecture, agent frameworks, retrieval, evaluation and observability. You won't be writing the code, but you will be the person who says whether the design is right.
- Partner with product on what gets built: product owns the product roadmap, you own what is technically possible and what it will actually cost.
- Separate signal from noise: track how generative and agentic AI is actually evolving, and turn it into decisions rather than slide decks.
Across The Company
- Get AI into real product workflows, working with design and engineering so it lands as something people use rather than something we demo.
- Make the rest of the business better at AI. You're the authority here, and the goal is that other teams get sharper because you're in the building.
- Explain AI to people who don't build it, from engineers to the CEO, without dumbing it down or hiding behind it.
Requirements
Leadership
- You've run an engineering team and made it better. Direct reports, and specific examples of people who levelled up under you.
- You get results through people who don't report to you: product managers, domain experts, other teams.
- You've led at pace, on high-performing teams with real deadlines, and you know what to cut.


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AI Depth
- At least 3 years at a company where generative or agentic AI is central to the product, not bolted onto it.
- Teams you've led have shipped agentic systems to production. Prototypes and demos don't count.
- You can hold your own on the detail: retrieval quality, evaluation, observability, agent design. You recognise an over-engineered solution when you see one.
Further Requirements
- Located within CET +/-2.
- Nice to have: a formal background in AI or ML, experience taking a product from non-AI-native to AI-native, familiarity with LangGraph, MCP, LangSmith or Langfuse, or legal tech and other regulated domains.
Benefits
- π§ Real Ownership β The AI function is yours: team, roadmap and standards. No committee between you and a decision.
- βοΈ A Market Ripe for Disruption β Agentic AI in a profession that has barely been automated at all, on a product 2,000+ lawyers already use every day.
- π Growth Stage β β¬19.5M raised and a team that has nearly tripled in two years.
- π‘ Fully Remote β Enjoy the flexibility of working from anywhere
- π» Top Equipment β State-of-the-art MacBook plus all the accessories you need
- ποΈ Wellbeing Perks β Urban Sports Club membership to support your healthy lifestyle
If you want to own how AI gets built inside a product that thousands of lawyers rely on every day, we'd love to hear from you.
βIt took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what Iβve been looking for.β
Jessica, London