At a Glance
- Tasks: Build cutting-edge AI prediction software and shape the future of human behaviour modelling.
- Company: Join a pioneering stealth startup focused on innovative AI solutions.
- Benefits: Competitive salary, equity options, and flexible hybrid work environment.
- Other info: Collaborate with founders in a dynamic, fast-paced startup atmosphere.
- Why this job: Directly influence product direction and make impactful decisions in AI technology.
- Qualifications: 5+ years in AI/ML systems, strong data engineering skills, and Python proficiency.
The predicted salary is between 80000 - 100000 £ per year.
We're helping a leading, early-stage stealth startup building AI-based prediction software. Their core mission is to accurately predict human behaviour at scale. You will be responsible for building production-grade LLM and agentic workflows that drive critical business decision-making for their users. This means turning customer, market, and operational data into reliable reasoning contexts for their models, and designing robust evaluation, tracing, replay, and quality-control systems for nondeterministic AI outputs.
You'll work on counterfactual analysis, forecasting, customer behaviour modelling, and decision support, constantly improving reliability through structured outputs, retrieval, constraints, calibration, tests, and model comparisons. Expect to build internal tools that make these AI workflows repeatable across various customer segments and use cases, and to directly help define how the team measures the usefulness, accuracy, and trustworthiness of the AI's predictions. You'll work directly with the founders on product direction, customer problems, and technical architecture, shaping the future of their product.
Compensation: Competitive salary + equity
Commitment: Full-time
Location: London / Hybrid
Start date: As soon as possible
Key requirements:
- 5+ years of experience building and deploying production-grade AI/ML systems, with a focus on LLMs or agentic workflows
- Strong background in data engineering and MLOps, particularly in turning unstructured data into reliable model inputs
- Experience with designing and implementing evaluation and quality-control systems for AI outputs
- Proficiency in Python and relevant AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
- Ability to work independently and collaboratively in a fast-paced, early-stage startup environment
Founding AI Engineer employer: Ethos
Join a pioneering early-stage startup in London, where innovation meets collaboration. As a Founding AI Engineer, you'll be at the forefront of developing cutting-edge AI solutions that drive meaningful business decisions, all while enjoying a dynamic work culture that fosters creativity and growth. With competitive compensation, equity options, and the opportunity to work closely with founders, this role offers a unique chance to shape the future of AI technology in a supportive and forward-thinking environment.
