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LM
Luis Minvielle
What Are Large Language Models?
almost 3 years ago
Full-Stack AI Engineer - Back-End Focus
Solve Intelligence
Greater London, UK
1 day ago
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Apply on www.collegerecruiter.com
Prepare application
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- Open in Claude
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Python (Programming Language)
Large Language Models
Backend
Job description
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.
Requirements
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. #J-18808-Ljbffr
About the company
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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.collegerecruiter.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists1:52 min
Structuring and scaling the backend engineering team
Stefan Lingler +1 · Coffee With Developers
3:32 min
Fundamentals and limitations of large language models
Krzystof Czieslak · LIVE
3:46 min
Core terminology and audiences for interpretable artificial intelligence
Karol Przystalski · LIVE
2:33 min
Managing the evolving AI developer stack
Ignacio Riesgo +1 · World Congress 2024
1:12 min
Choosing TypeScript for complex backend applications
Maximilian Otto · World Congress 2024
1:24 min
Comprehensive AI infrastructure stacks at the Linux Foundation
Matt White · World Congress 2025
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