Legal and Product Engineer

Stellenbeschreibung:

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

  • Traction: 20-30% MoM revenue growth; selling to 200+ 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

  • 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

  • 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.

Compensation Range: $100K - $220K

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Stelleninformationen

  • Veröffentlichungsdatum:

    12 Mär 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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