AI Engineer: Build Proprietary LLMs with Equity

Solve Intelligence
Greater London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Python (Programming Language) Large Language Models

Job description

A cutting-edge AI startup in London is looking for an AI Engineer to lead the development of innovative algorithms swiftly. Candidates should have expertise in Python, LLMs, and strong production experience. The company offers competitive salaries, significant equity, and a dynamic work environment. As part of a fast-paced team with PhD-level co-founders, you will contribute to transforming the Intellectual Property landscape. This role promises a unique opportunity to grow in a supportive and high-energy culture.

Requirements

A cutting-edge AI startup in London is looking for an AI Engineer to lead the development of innovative algorithms swiftly. Candidates should have expertise in Python, LLMs, and strong production experience. The company offers competitive salaries, significant equity, and a dynamic work environment. As part of a fast-paced team with PhD-level co-founders, you will contribute to transforming the Intellectual Property landscape. This role promises a unique opportunity to grow in a supportive and high-energy culture. #J-18808-Ljbffr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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

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Fabricated software updates for Python alongside lunar quarantine proposals

Chris Heilmann +1 · LIVE

5:30 min

Building components of a real-world LLM lifecycle

Maxim Salnikov Maxim Salnikov · LIVE

2:25 min

Understanding the evolution and nature of large language models

Krzysztof Cieślak Krzysztof Cieślak · World Congress 2024

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

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