At a Glance
- Tasks: Build AI agents that transform engineering workflows across various industries.
- Company: Leading tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a team driving real impact with cutting-edge AI technology.
- Qualifications: 3+ years in Applied AI or ML Engineering, with experience in deploying AI Agents.
The predicted salary is between 70000 - 90000 € per year.
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.
- 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.
Senior AI Engineer – Applied in London employer: Physics X
As a Senior Applied AI Engineer at our innovative company, you will be part of a dynamic team that thrives on collaboration and creativity, driving transformative solutions in the Engineering sector. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and hands-on experience with cutting-edge technologies. Located in a vibrant tech hub, our company provides unique advantages such as access to industry-leading experts and a commitment to fostering an inclusive environment where your contributions directly impact our customers' success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer – Applied in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to build and deploy AI agents. This will give you an edge and show employers what you're capable of.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex engineering challenges and how you can apply that experience to their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
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 building advanced workflows that drive real value for customers.
Tailor Your Experience:Make sure to highlight your relevant experience in Applied AI and ML Engineering. We’re looking for specific examples of how you’ve built and deployed AI agents or complex workflows, so don’t hold back on the details!
Collaborate in Your Writing:Since collaboration is key for us, mention any experiences where you’ve worked closely with domain experts. Show us how you’ve translated their knowledge into practical solutions, as this is a big part of what we do.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Physics X
✨Know Your AI Agents Inside Out
Make sure you can discuss your experience with building and deploying AI agents in detail. Be ready to share specific examples of how you've solved complex problems using these agents, especially in production environments.
✨Showcase Your Collaboration Skills
Since the role involves working closely with domain experts, prepare to talk about your past collaborations. Highlight how you’ve translated expert knowledge into actionable AI solutions, and be ready to discuss any challenges you faced and how you overcame them.
✨Demonstrate Your Empirical Approach
Be prepared to explain your systematic evaluation methods. Discuss how you measure the performance of your AI agents and the importance of tracing and evaluations in your work. This will show that you value data-driven decision-making.
✨Familiarise Yourself with the Tech Stack
Brush up on the technologies mentioned in the job description, particularly Python, Kubernetes, and Docker. If you have experience with Go or TypeScript, be ready to discuss that too. Showing familiarity with the tech stack will demonstrate your readiness for the role.
