HartleyCo

Artificial Intelligence Engineer

HartleyCo

London Area, United Kingdom · Full Time

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Experience
Any
Salary
GBP 100,000 – GBP 130,000 / year
Openings
1
Posted
11 ಗಂಟೆಗಳು ಹಿಂದೆ
Work mode
In office
Resume
Required to apply

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Job description

About the Role

Join a pioneering early-stage startup in London focused on reinventing interactive content creation in an AI-first environment. Backed by significant funding from top tech and gaming investors, this AI-first product studio aims to transform advanced AI models into user-friendly products. As a founding AI Engineer, you will collaborate closely with the founder and founding engineering team to develop agent systems that effectively translate product specifications into delivered software.

Key Responsibilities

  • Architect, develop, and maintain the end-to-end pipeline from product specification to final release, including planning, generation, review, and delivery phases.
  • Create and manage evaluation and regression testing tools to identify quality issues pre-release.
  • Design and implement routing mechanisms to select optimal AI models for each process step based on quality, latency, and cost considerations.
  • Take ownership of retrieval and context systems, including strategies for fine-tuning models using data generated by the platform.
  • Influence the overall application of AI throughout the entire product rather than focusing on isolated features.

Candidate Profile

  • Keep up-to-date with the latest research and advancements in AI, actively experimenting with new models and methodologies as they emerge.
  • Proven expertise with production-level large language model (LLM) systems, encompassing multi-step pipelines, agent-based tool usage, and evaluation infrastructures.
  • Strong foundation in systems engineering; experience with TypeScript is preferred but substantial proficiency in other languages is acceptable.
  • Skilled in creating and managing test sets, benchmarks, and regression monitoring to assess model performance.
  • Experience balancing inference cost, quality outcomes, and response latency in live systems.
  • Thrives in a high-ownership, early-stage startup environment requiring in-person collaboration.

How they work

Teamwork & Collaboration Attention to Detail Adaptability Initiative Learning Agility

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