Founding AI Engineer - Reinforcement Learning & LLMs

JR United Kingdom; London; On-site; GBP 150,000 - 200,000; Full time

Job summary

An innovative VC-backed generative AI startup is seeking a Founding AI Engineer with expertise in Reinforcement Learning and LLMs. This exciting role involves building and optimizing advanced LLM systems to achieve unparalleled accuracy in production. The ideal candidate will possess exceptional software engineering skills, a passion for solving complex problems, and experience in deploying LLMs. Join a dynamic and engineering-led team where everyone contributes code and shapes the future of AI technology. If you're ready to tackle challenging problems and make a significant impact, this opportunity is perfect for you.

Qualifications

• Experience deploying LLMs into production is essential.
• Strong fundamentals in ML, data science, and data engineering.

Responsibilities

• Build, train, and optimize LLM systems for industry benchmarks.
• Deploy end-to-end generative AI systems that learn continuously.

Skills

Software Engineering

Problem Solving

Machine Learning

Data Engineering

Deep Reinforcement Learning

Job description

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Founding AI Engineer - Reinforcement Learning & LLMs, London

Client:

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 4

Posted: 13.04.2025

Expiry Date: 28.05.2025

Job Description:

Founding AI Engineer - Reinforcement Learning & LLMs (London, In-person)

VC-backed generative AI startup building a platform to take LLM-powered tasks to 99%+ accuracy. Early-stage, engineering-led, everyone codes.

Role:

• Build, train and optimise LLM systems capable of beating industry benchmarks.
• Deploy robust generative AI systems end-to-end in production that constantly learn.
• Build rigorous evaluation suites.

About you:

• Exceptional software engineering ability with startup experience.
• Curious and loves to solve hard problems with first-principles thinking.

Requirements:

• Experience deploying LLMs into production.
• Experience with deep reinforcement learning.
• Strong ML/data science and data engineering fundamentals.