We’re looking for a hands-on Senior Applied AI Engineer to build the AI agents that transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the advanced workflows that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.
Your mission is to build advanced Agentic workflows that drive real value for our customers across the Engineering industry.
Core ResponsibilitiesYou will work with our product teams and customers to build and deploy agentic functionality directly into our platform, as well as deeply integrate our capabilities into how our customers operate.
- You are an expert in building and orchestrating AI Agents. You know how to chain LLMs, tools, and data to solve complex reasoning tasks.
- You aggressively dogfood our tools to build production solutions, and you provide direct feedback to improve the Developer Experience.
- Collaborative: You excel at partnering with domain experts (e.g. Physicists) to understand their mental models and codify them into agents.
You will be the tip of the spear for our Agentic capabilities, proving what is possible and helping us productise it.
- Be "Customer Zero": Aggressively dogfood our internal platform. If the Developer Experience hurts, you are the first to flag it and help fix it.
- Build Advanced Agentic Workflows: Design and implement complex agents that leverage our surrogates and simulation tools to solve specific customer problems.
- Drive Product Strategy: Use your direct experience building solutions to identify common patterns across customers. You will help decide what functionality belongs in the platform vs. what stays in the application layer.
- Rigorous Evals & Tracing: You don't just ship "vibes." You implement systematic evaluation loops and deep tracing to prove that your agents are reliable, robust, and improving over time.
- Languages: Python (Primary), Go or TypeScript (Secondary).
- Platform tooling: Kubernetes, Docker, Terraform.
- Agentic Infrastructure: Agentic Frameworks, Vector DBs
- Observability: OTel, Agent Tracing / Evaluations tooling
- A Builder First: You judge your success by shipping working agents that solve real problems in production, not just by writing design docs.
- Strategic & Broad: You don't just solve the problem in front of you; you look for the "generalisable proof-point" that informs the broader platform strategy.
- Empirical: You value systematic measurement over intuition. You believe that if you can't trace it and eval it, you can't ship it.
- Agentic Native: You have a deep spike in Agentic Systems. You are comfortable working with domain experts to translate their knowledge into deterministic tools and workflows.
- 3+ years of experience in Applied AI, ML Engineering, or Software Engineering.
- Proven experience building and deploying AI Agents or complex LLM workflows in production.
- Demonstrated ability to collaborate with Domain Experts to solve complex, domain-specific problems.
What we offer
Build what actually matters
Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.
Learn alongside exceptional people
Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.
Influence over hierarchy
We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.
Sustainable pace, long-term ambition
Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.
And it doesn’t stop there …
🚀 Equity options - share meaningfully in the company you’re helping to build.
🏦 10% employer pension contribution - because investing in future matters.
🍽️ Free office lunches - to keep you energised and focused.
👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
🍼 YellowNest nursery scheme - to help working parents manage childcare costs.
☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.
💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.
👀 Eye tests - because good work depends on good health.
📈 Personal development - dedicated support for learning, development, and leveling up over time.
💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.
🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.
🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.
🔎 Watch this space, we’re continuing to build this as we grow…
Skills Required
- 3+ years of experience in Applied AI, ML Engineering, or Software Engineering
- Proven experience building and deploying AI Agents or complex LLM workflows in production
- Demonstrated ability to collaborate with Domain Experts to solve complex, domain-specific problems
What We Do
PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, and increasing the performance of wind turbines. We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. We do not currently offer work experience
