Founding AI Engineer - Seed stage startup - TWE45209

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 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 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: isaac.salem@twentyai.com