Ruby Labs Ltd. logo

AI Engineer

Job Overview

Location

Ukraine

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.
  • • Your day-to-day responsibilities include designing advanced prompt engineering systems, implementing structured outputs and schemas, building evaluation pipelines with Langfuse, performing deep debugging of LLM chains, conducting AI A/B testing via OpenRouter, making data-driven deployment decisions, developing output scoring systems, and regularly re-evaluating and fine-tuning model performance.
  • • You will join an innovative tech team at Ruby Labs, a leading company creating and operating consumer products, where modern stacks and data-driven decision-making are central to delivering high-quality AI features from experimentation to live production.
  • • In this role, you will deepen your expertise in LLMs, observability, prompt engineering, and model evaluation while contributing to scalable AI systems that directly impact product quality, reliability, and cost efficiency in a fast-growing, remote-first environment.

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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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