Founding AI Engineer - Seed stage startup - TWE

An early-stage deep tech organisation dedicated to building next-generation AI systems for physical-aware reasoning in scientific and engineering domains. They are working at the forefront of AI infrastructure, machine learning, and computational tooling.

As the first Founding AI Engineer hire, you will join a small, ambitious team to help define and build advanced AI systems that can reason across structured scientific and engineering problems, such as geometry, mathematics, biology, and hardware design.

• Design and implement AI reasoning systems for structured scientific and engineering problems
• Develop models for advanced reasoning across domains such as geometry, mathematics, biology, and hardware
• Collaborate on technical direction, system architecture, and production engineering
• Work with multimodal AI approaches combining symbolic, geometric, and textual reasoning
• Build scalable infrastructure and tooling for advanced AI workflows

• Strong mathematical and analytical problem-solving abilities
• Programming experience in Python and C++
• 2+ years experience
• Experience with PyTorch and scientific computing libraries
• Background in building and maintaining technically complex systems
• Knowledge of machine learning systems
• Ability to thrive in fast-moving and ambiguous environments
• Curiosity for scientific, computational, or systems-level challenges
• Interest in AI applications beyond language models

• Expertise in scientific machine learning
• Experience with geometry or graph-based reasoning
• Knowledge of simulation systems
• Understanding of hardware-aware machine learning
• Systems engineering or compiler/tooling development
• Distributed computing or infrastructure experience
• Competitive salary plus meaningful equity
• Chance to influence technical direction at an early stage
• Hybrid working model (3 days onsite in London)