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We’re seeking a driven AI Lead to take ownership of AI across one of the fastest-growing legal tech companies in Europe, leading the development and evolution of our core AI products.
This role combines applied generative AI development with AI leadership, balancing hands-on work on production systems with leading the AI team, defining the roadmap, and establishing best practices for AI across the company.
Reporting to the Head of Engineering, you’ll be responsible for the entire AI function: setting direction, building systems, and enabling the organization to effectively leverage AI. You will work closely with product and engineering leadership to deliver reliable AI features while continuously improving infrastructure, observability, and evaluation workflows across all AI products.
For a leader with strong experience building and deploying AI systems in production, this is an opportunity to own multiple AI products, scale a high-performing AI team, and shape how AI is applied across the company.
Your Challenge and Opportunity in This Role
You will define how AI is built, shipped, and scaled at JUPUS. As AI Lead, you are responsible for both strategic direction and execution, ensuring that AI systems across voice, chat, and document processing deliver real value to users.
You will lead the development and evolution of Phonebot, Chatbot, and Document AI, while establishing the technical and organizational foundations needed to scale AI across the company.
Expect strong ownership, fast iteration, and pragmatic decision-making, with a clear focus on building reliable, production-ready systems that improve productivity for law firms.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d 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.
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Graduate Consultant — 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.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — 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 — 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 — and where to focus when applying.
Tasks
AI Strategy, Leadership & Implementation:
- Define and execute the AI roadmap across all AI products
- Lead, mentor, and grow the AI team, fostering a high-performance, execution-focused culture
- Architect and implement production-ready generative AI systems across voice, chat, and document workflows
- Contribute hands-on (≈40%) to core AI systems, including architecture, implementation, and optimization
- Design and oversee agentic workflows, RAG systems, and LLM-based architectures across products
- Establish and scale evaluation, testing, and observability frameworks for AI systems
- Define and enforce best practices for AI development, deployment, and iteration
- Ensure reliable delivery and fast iteration within a small, high-impact team
Cross-functional Collaboration:
- Partner closely with product, design, and engineering teams to integrate AI into real product workflows
- Translate complex AI capabilities into clear, practical product features
- Act as the AI authority within the company, supporting teams in adopting and applying AI effectively
- Communicate AI strategy and progress clearly to both technical and non-technical stakeholders
Requirements:
- 5–6 years of experience building and shipping applied AI systems in production
- Proven hands-on experience with agentic AI systems and/or RAG in production (beyond simple API usage)
- Strong proficiency in Python and backend development for AI-driven products
- Demonstrated experience leading or mentoring AI engineers, including setting technical direction and raising team standards
- Track record of owning and delivering AI features end-to-end in a product environment
- Experience with LLM evaluation, monitoring, and observability (e.g. LangSmith, Langfuse, or similar)
- Ability to balance hands-on work with technical leadership in a fast-paced environment
- Strong product mindset and ability to translate AI capabilities into real user value
- Fluent in English
- Must be located within the CET -2/+2 time zone


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Nice to Have:
- Experience with LangChain, LangGraph, or custom agent frameworks
- Familiarity with Django or similar
- Understanding of LLM architectures or deep learning fundamentals
Benefits
🚀 Foundational Impact – Help build and scale the core AI capabilities of JUPUS from the ground up
🔒 Technical Ownership – Work directly on the systems powering AI features across multiple products
🌱 Growth Environment – Build production AI systems at the cutting edge of generative AI and agentic workflows
💼 Leadership Visibility – Flat hierarchy with direct access to the Head of Engineering and CTO, reporting to the AI Lead
🏡 Fully Remote – Enjoy the flexibility of working from anywhere
💻 Top Equipment – State-of-the-art MacBook plus all the accessories you need
🏋️ Wellbeing Perks – Urban Sports Club membership to support your healthy lifestyle
If you're passionate about building practical AI systems, shipping agentic workflows, and creating real impact for users through generative AI, we’d love to hear from you.
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