twentyAI
Founding AI Engineer - Seed stage startup - TWE45209
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Company An early-stage deep tech organisation building next-generation AI systems for complex scientific and engineering domains. The team operates at the intersection of artificial intelligence, optimisation, large-scale computation, and software infrastructure, developing technology that tackles challenging real-world problems where off-the-shelf solutions do not exist.
Role As the first Founding AI Research Engineer hire, you will join a small, ambitious team and play a key role in designing, building, and scaling advanced AI systems. You will work across research and engineering, solving novel problems that require a combination of machine learning, systems thinking, and first-principles reasoning.
Responsibilities
- Design and implement reasoning models for complex scientific and engineering problems
- Build scalable data, training, inference, and evaluation pipelines
- Develop novel approaches to optimisation, reasoning, and decision-making problems
- Collaborate on technical direction, architecture, and product strategy
- Translate research ideas into robust, production-quality systems
- Work across the full lifecycle from experimentation through deployment
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Key Skills
- Strong mathematical and analytical problem-solving abilities
- Excellent Python programming skills (C++ experience beneficial)
- 2+ years of industry or research engineering experience
- Experience with PyTorch and modern machine learning frameworks
- Proven ability to build and maintain technically complex systems
- Strong software engineering fundamentals
- Ability to thrive in fast-moving and ambiguous environments
- Curiosity for scientific, computational, or systems-level challenges
- Interest in machine learning beyond prompt engineering and off-the-shelf AI tools
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Nice to Have
- Machine learning research or research engineering experience
- Experience with optimisation, reinforcement learning, simulation, or probabilistic modelling
- Knowledge of distributed training, inference optimisation, or large-scale ML systems
- Experience with scientific computing or high-performance computing
- Systems engineering, compiler, tooling, or infrastructure experience
- Hardware-aware machine learning or performance optimisation experience
- Publications, patents, or meaningful open-source contributions
Benefits
- Competitive salary plus meaningful equity
- Opportunity to influence technical direction from day one
- Work directly with an experienced founding team
- Hybrid working model (3 days onsite in London)
Next Steps Apply below or reach out directly: tical.doyle@twentyai.com
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