Legal and Product Engineer (Patent Prosecution)

Solve Intelligence is hiring a Legal and Product Engineer (Patent Prosecution) in London, United Kingdom. It pays $100k-$220k a year and Level rates it ; you can apply on Solve Intelligence.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions visa sponsorship.
The posting mentions prompt engineering among its tools and skills.
Level classes it as a mid-level role.
Solve Intelligence has 17 other open roles on Level.

AI in this role

prompt-engineering

At Solve Intelligence, we’re building the AI-powered infrastructure for the global Intellectual Property landscape. We need a rare hybrid - a Legal and Product Engineer who sits at the exact intersection of patent law and AI innovation to ensure our engine is technically superior and legally airtight.

🏗️ The Role: Legal and Product Engineer

This isn't your typical client-facing role or traditional R&D position. You are the bridge between the complex nuances of patent practice and the cutting-edge AI technology transforming it. You will translate the "language of law" into the "logic of code."

What you’ll own:

AI Output Engineering: Partner with our AI researchers to iterate on algorithms and prompt engineering, specializing our LLMs for patent-specific tasks like claim analysis, prior art comparison, and obviousness assessments.
Legal Benchmarking: Build proprietary datasets and evaluation frameworks to measure AI performance against real-world USPTO and international patent office requirements.
Product Roadmap: Serve as the internal voice of the practitioner. You’ll translate deep client insights from global firms into high-priority product features.
Strategic Partnership: Act as a technical thought partner for IP teams at firms like DLA Piper, leading pilots and ensuring our AI scales seamlessly across their prosecution and litigation workflows.
Playbook Development: Document and scale best practices for AI adoption across diverse sectors, from biotech to deep-tech software.

💡 About Solve Intelligence

We’re the fastest-growing startup transforming the IP industry.

Traction: 20-30% MoM revenue growth; selling to 600+ global IP teams (DLA Piper, tech boutiques, and global enterprises).
Proven Value: Users report 50-90% efficiency gains using our AI platform.
Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others.

👋 Your Team

You’ll work directly with a founding team of AI PhDs and systems experts:

Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired).
Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute.
Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard).

🚀 Who You Are

We are a high-performance culture of "hackers" and builders.

Bilingual: You can speak "Patent" to an attorney and "Prompt" to an engineer without losing anything in translation.
Speed & Feedback: You want to put tools in users' hands in days, not months, and you thrive on rapid iteration.
Extreme Ownership: You take responsibility for the accuracy of our AI's legal reasoning and the success of our global client deployments.
Driven & Humble: You are a high-achiever willing to go the extra mile to tackle unsolved AI problems in the patent space.

🛠️ What You Bring

Must-Haves:

Qualified Professional: Admitted to practice before the USPTO, EPO or JPO.
3+ Years Experience: Direct experience in patent prosecution, understanding the "pain points" of the industry first-hand.
Technical Foundation: Undergraduate degree in Engineering, Computer Science, or Life Sciences.

Preferred & Nice-to-Haves:

AI Tinkerer: Hands-on experience with prompt engineering and LLM tools.
Client-Facing Pro: Proven ability to manage relationships and lead strategic product demos.
Coder-Lite: Familiarity with Python or a background in software development.
Visionary: A deep belief that AI will fundamentally redefine the legal landscape.

🎁 What We Offer

Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company.
Founding Impact: You will be the architect of how AI is applied to patent law globally.
Support: Full visa sponsorship and private medical insurance.
The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team.

Ready to define the future of Intellectual Property? Apply now. 🚀

How we rate this

Legal and Product Engineer (Patent Prosecution) at Solve Intelligence rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Legal and Product Engineer (Patent Prosecution) is an open job at Solve Intelligence.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $100k-$220k a year.
The role is based in London.
The job was posted on January 5, 2026.
Seniority: mid.
Applications are handled by Solve Intelligence. Apply on Solve Intelligence

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineering

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Prompt engineering. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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