London AI Engineer (LLM) — Startup, Founding Team

Granola

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Above market equity
Relocation assistance
In-person collaboration in a bright office

Job summary

A forward-thinking startup in London is seeking a passionate engineer to apply the latest advancements in LLMs. You will own the development of LLM-based features, build evaluation frameworks, and collaborate with a cross-functional team. Ideal candidates have experience with large-context LLM systems and are excited about working in a startup environment. The role offers competitive compensation, collaboration in-person in a vibrant office, and relocation assistance if needed. Join us in shaping the future of user-centric products.

Qualifications

  • Experience working in tech and product-driven companies.
  • Shipping LLM-based solutions to production using platforms like OpenAI.
  • Proficiency in prompt management and evaluation frameworks.

Responsibilities

  • Own the development and application of LLM-based features end-to-end.
  • Build and maintain evaluation frameworks for iterative prompt evaluations.
  • Optimize performance and scalability of embeddings and vector stores.
  • Interact with users to understand needs and design solutions.
  • Stay updated with LLM trends and applied AI practices.
  • Collaborate in a cross-functional team to create innovative products.

Skills

Engineering experience
Shipping multi-provider LLM-based solutions
Proficiency with LLM infra platforms
Experience designing large-context LLM systems
Building features end-to-end with TypeScript
Building features end-to-end with React.js
Building features end-to-end with Node.js

Job description

A forward-thinking startup in London is seeking a passionate engineer to apply the latest advancements in LLMs. You will own the development of LLM-based features, build evaluation frameworks, and collaborate with a cross-functional team. Ideal candidates have experience with large-context LLM systems and are excited about working in a startup environment. The role offers competitive compensation, collaboration in-person in a vibrant office, and relocation assistance if needed. Join us in shaping the future of user-centric products.
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