Ruby Labs Ltd. logo

AI Engineer

Job Overview

Location

Spain

Job Type

Full-time

Category

Data Science

Date Posted

April 22, 2026

Full Job Description

đź“‹ Description

  • • As a senior AI Engineer at Ruby Labs Ltd., you will shape the company's AI infrastructure and drive production-ready LLM experiences, playing a critical role in advancing consumer-led products across health, education, and entertainment industries.
  • • Day to day, you will design advanced prompt systems, implement structured outputs using JSON schemas and function calling, build evaluation pipelines with Langfuse, debug LLM chains via tracing, conduct AI A/B testing across models like Claude 3.5 Sonnet and GPT-4o via OpenRouter, and make data-driven deployment decisions based on quantitative benchmarks and trace analytics.
  • • Ruby Labs is a fast-growing tech company creating innovative consumer products, with a modern stack focused on Node.js, Next.js, and TypeScript, and a culture that values ambition, impact, and continuous improvement through data and experimentation.
  • • In this role, you will deepen your expertise in LLM observability, prompt engineering, model evaluation, and AI system optimization, while gaining ownership over key AI features from experimentation to live production in a remote-first, high-impact environment.

Skills & Technologies

Python
JavaScript
TypeScript
Go
Ruby
Data Science
Remote

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About Ruby Labs Ltd.

Ruby Labs Ltd. is a London-based product studio that builds and scales consumer subscription mobile and web applications. The company focuses on health, wellness, and productivity verticals, developing apps such as Hint, Able, and the award-winning fitness platform FitCoach. Using data-driven growth and proprietary technology, Ruby Labs rapidly prototypes, launches, and iterates products to serve millions of global users. The team combines engineering, product design, and performance marketing expertise to create sustainable digital businesses. Founded in 2018, Ruby Labs operates a portfolio of self-funded apps, emphasizing user privacy, scientific validation, and long-term customer value.

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