The Role We are looking for a full-stack software engineer to build the next generation of scientist-centred AI tools for accelerating scientific discovery, our understanding of the universe, and solving climate change.
This is a hybrid role with 2 to 3 days at our London office.
You'll work closely with our computational and experimental groups to build agentic LLM tools which democratise the usage of Orbital Materials' SOTA simulation models and work at the fore-front of AI-accelerated scientific research.
This role will be focused on delivering software which integrates frontier AI research into the workflow of scientists.
This will involve designing and implementing front-end tools for novel interaction patterns with generative models, RAG, and scientific visualizations.
This role will also design and build the back-end services which deliver agentic scientific workflows at scale, such as the orchestration of GPU-accelerated and traditional HPC workloads for atomistic simulation, and the processing of experimental data.
You will be working alongside the scientists who use these tools for every aspect of the materials discovery and technology development pipeline, and uniquely placed to guide the development of a new, AI-powered methodology for rapidly scaling crucial technologies for the energy transition.
Responsibilities: Design and implement full-stack web applications which expose cutting-edge scientific tooling to scientists
Develop novel front-end interfaces which allow scientists to perform AI-accelerated research
Develop back-end services which deliver AI-accelerated research, connecting diverse research tools, molecular simulations, physical lab equipment and LLMs
Develop a suite of applications which provide utility to experimental chemists and integrate with central workflows
Skills & Experience: 3+ years of professional experience as a full-stack engineer
A quantitative graduate degree
Experience working with machine learning, LLMs, scientific tools/teams is a bonus
Expert level experience with python and front-end javascript frameworks, react preferred.
What we offer Competitive base salary with AI sector
Generous equity package
Private Healthcare
Pension
Flexible and generous paid time off
Regular team offsites and travel to US office
We are an Equal Opportunity Employer.
We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
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