Founding AI Engineer β€” Patent Gen & Production Pipelines

Founding AI Engineer β€” Patent Gen & Production Pipelines

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
J

At a Glance

  • Tasks: Build cutting-edge AI algorithms for patent generation and evaluation.
  • Company: Solveintelligence.com, a pioneering tech firm in London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for rapid career growth.
  • Other info: Be part of a dynamic startup environment with significant impact.
  • Why this job: Join a team of PhD founders and revolutionise global IP processes.
  • Qualifications: Experience in AI development and a passion for innovation.

The predicted salary is between 70000 - 90000 Β£ per year.

Solveintelligence.com in London is seeking a founding AI engineer to build production-ready patent generation algorithms and evaluation pipelines. You will work directly with PhD founders from top universities to push the boundaries of LLMs and deliver substantial efficiency gains for 400+ global IP teams while shipping code at a rapid pace.

You will own end-to-end AI development, from algorithm design to deployment, focusing on high-quality patent documentation and scalable evaluation pipelines.

Founding AI Engineer β€” Patent Gen & Production Pipelines employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

J

Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Founding AI Engineer β€” Patent Gen & Production Pipelines

AI Development
Algorithm Design
Production-Ready Systems
Patent Generation Algorithms
Evaluation Pipelines
Large Language Models (LLMs)
Code Deployment