Full-Stack AI Engineer – Back-End Focus in London

Full-Stack AI Engineer – Back-End Focus in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of cutting-edge AI algorithms for patent generation.
  • Company: Dynamic startup in London focused on innovative AI solutions.
  • Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
  • Other info: Exciting environment with a strong emphasis on innovation and speed.
  • Why this job: Join a fast-paced team and make a real impact in the AI industry.
  • Qualifications: Expertise in Python and experience with evaluation pipelines and LLM architectures.

The predicted salary is between 60000 - 80000 Β£ per year.

Solve Intelligence, based in London, is seeking a Full Stack Engineer with a back-end focus to help build state-of-the-art AI products. In this role, you will lead the development of proprietary algorithms that enhance patent generation using advanced AI techniques.

The ideal candidate will have expert skills in Python, production experience with evaluation pipelines, and a good grasp of LLM architectures. You'll be working in a dynamic startup environment that values innovation and speed.

Full-Stack AI Engineer – Back-End Focus in London employer: Solve Intelligence

As a pioneering AI startup, we pride ourselves on fostering a dynamic and collaborative work culture that encourages innovation and professional growth. Our employees benefit from competitive compensation packages, significant equity opportunities, and the chance to work alongside a talented team dedicated to transforming the IP landscape in a fast-paced environment. Join us to be part of a meaningful journey where your contributions will directly impact the future of technology and intellectual property.

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Contact Details:

Solve Intelligence Recruitment Team

We think you need these skills to ace Full-Stack AI Engineer – Back-End Focus in London

Python
AI Techniques
Algorithm Development
Evaluation Pipelines
LLM Architectures
Innovation
Speed