At a Glance
- Tasks: Build AI agents that revolutionise engineering workflows across various industries.
- Company: PhysicsX, a deep-tech company innovating at the intersection of AI and engineering.
- Benefits: Equity options, generous leave, private medical insurance, and personal development support.
- Other info: Join a diverse team committed to innovation and tackling complex challenges.
- Why this job: Make a real-world impact by shaping AI-driven solutions for leading industries.
- Qualifications: 3+ years in Applied AI or ML Engineering with proven experience in building AI agents.
The predicted salary is between 70000 - 90000 € per year.
About us
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
The Mission
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 Responsibilities
- You 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.
The Tech Stack
- Languages: Python (Primary), Go or TypeScript (Secondary).
- Platform tooling: Kubernetes, Docker, Terraform.
- Agentic Infrastructure: Agentic Frameworks, Vector DBs
- Observability: OTel, Agent Tracing / Evaluations tooling
Who You Are
- 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.
Qualifications
- 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.
- 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.
- Influence over hierarchy: We operate with a flat structure: good ideas win - wherever they come from.
- Sustainable pace, long-term ambition: Building meaningful technology is a marathon, not a sprint.
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply.
Senior AI Engineer - Applied in London employer: us PhysicsX
At PhysicsX, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team of high-calibre engineers and scientists work together in a flat structure, where your ideas are valued and impactful contributions are recognised. With a strong focus on employee growth, we offer extensive development opportunities, competitive benefits including equity options, generous parental leave, and a hybrid working model that promotes a sustainable work-life balance, all while tackling meaningful challenges in the engineering industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - Applied in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at PhysicsX. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This is your chance to demonstrate your expertise in building AI agents and complex workflows. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Be proactive! Don’t wait for job postings to appear. Reach out directly to PhysicsX or similar companies and express your interest. A well-crafted message can go a long way in getting noticed, especially if you highlight how you can contribute to their mission.
✨Tip Number 4
Prepare for interviews by understanding the company’s tech stack and challenges. Dive deep into their products and think about how your experience aligns with their needs. When you apply through our website, make sure to tailor your approach to show you’re the perfect fit!
We think you need these skills to ace Senior AI Engineer - Applied in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and engineering shine through. We want to see how your experience aligns with our mission of pushing the boundaries of possibility in advanced industries.
Tailor Your Experience:Make sure to highlight your relevant experience in building and deploying AI agents. We’re looking for specific examples that demonstrate your skills and how they can contribute to our platform's success.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Senior Applied AI Engineer role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at us PhysicsX
✨Know Your AI Agents Inside Out
Make sure you have a solid understanding of AI agents and how they work. Be prepared to discuss your experience with building and deploying AI agents, especially in production environments. Highlight specific projects where you've successfully implemented complex workflows.
✨Showcase Your Collaboration Skills
PhysicsX values collaboration with domain experts, so be ready to share examples of how you've worked with others to solve complex problems. Discuss how you’ve translated expert knowledge into actionable AI solutions, and demonstrate your ability to communicate effectively across disciplines.
✨Demonstrate Your Empirical Approach
Prepare to talk about how you measure success in your projects. Share your experiences with systematic evaluation loops and tracing methods that ensure reliability and robustness in your AI agents. This will show that you value data-driven decision-making.
✨Be Ready to Discuss Product Strategy
Think about how your past experiences can inform broader product strategies. Be prepared to discuss common patterns you've identified in customer needs and how you would prioritise features for the platform versus application layer. This shows you're not just a builder but also a strategic thinker.
