Artificial Intelligence Engineer
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.