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trg.

Founding Engineer

London On-site 5-10 yrs exp Staffing and Recruiting 68 employees
Backend EngineeringMachine Learning EngineeringProduction SystemsTraining PipelinesFine-Tuning

Requirements

Candidates should have strong backend or machine-learning engineering experience shipping production systems, including exposure to production-scale data or models at a company building real machine-learning products. They should be comfortable with startup pace, autonomy, and ambiguity, and have hands-on evaluation or benchmarking experience or a strong interest in owning that work; reinforcement-learning pipelines, fine-tuning, LoRA, or experience at an AI lab or model company are bonuses.

Job Description

Founding Engineer, AI Infrastructure (Seed-Stage Start-up)

📍 London, in office 5 days a week | 💷 Up to £180k base + founding equity


The company

A well-funded, seed-stage AI start-up building developer infrastructure for machine learning. The product handles some of the hardest parts of working with models, so engineering teams can get results without large research teams behind them.

It’s a small, technical founding team in London, the company is moving fast, and the founders are in conversations about the next round.


The role

You’ll be one of a small group of founding engineers, working directly with the founders. Most of the work (around 90%) is backend, and there’s very little UI. You’ll get real ownership and tech-lead scope from day one, across:

  • Training and fine-tuning pipelines
  • Inference and model serving
  • Evals and benchmarking, built properly for production
  • The infrastructure that ties it all together


What we’re looking for

  • Strong backend or ML engineering experience shipping production systems
  • Exposure to data or models at production scale, from a company building real ML (not a thin wrapper around a third-party API)
  • Hands-on experience with evals and benchmarking, or a strong interest in owning them
  • Comfort with start-up pace: you’re autonomous and happy with ambiguity
  • Bonus: RL pipelines, fine-tuning, LoRA, or a background at an AI lab or model company


Why join

  • Founding-team equity with a clear path to grow your stake
  • Real influence over the product and the technical direction
  • A hard technical problem with clear demand in the market


Process: screen, technical interview, final. Visa sponsorship is considered case by case.

Skills

Backend EngineeringMachine Learning EngineeringProduction SystemsTraining PipelinesFine-TuningInferenceModel ServingEvaluationBenchmarkingInfrastructure EngineeringData at Production ScaleAutonomyTechnical LeadershipReinforcement LearningLoRA

About trg.

trg. is a talent agency building the companies shaping tomorrow. We empower individuals and businesses by fostering meaningful connections within the tech industry. We specialise in Agile, Data, Engineering, DevOps, Product, Design & UX. Based in London, UK, covering EMEA and North America. We have our communities - The Roundabouts and HerStory