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 proven experience in building 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.
- 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.
Senior AI Engineer – Applied employer: Physics X
Join a forward-thinking company that champions innovation and collaboration, where as a Senior Applied AI Engineer, you will play a pivotal role in transforming engineering workflows across diverse industries. Our vibrant work culture fosters creativity and teamwork, offering ample opportunities for professional growth and development while working with cutting-edge technology in a supportive environment. Located in a dynamic tech hub, we provide unique advantages such as access to industry leaders and a network of like-minded professionals, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer – Applied
✨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 projects, especially those involving AI agents or complex workflows. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI engineering. Don’t forget to brush up on your Python skills and be ready to discuss your experience with agentic systems!
✨Tip Number 4
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
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and engineering shine through! We want to see how your experience aligns with our mission to build advanced workflows. Share specific projects or challenges you've tackled that relate to the role.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this position. Highlight your experience with AI agents and any relevant tech stacks like Python, Kubernetes, or Docker. We love seeing how your skills can directly contribute to our goals!
Be Specific About Your Achievements:Instead of just listing your responsibilities, focus on what you've achieved in your previous roles. Use metrics or examples to demonstrate how you've built and deployed AI solutions that made a real impact. We appreciate concrete evidence of your success!
Apply Through Our Website:Don't forget to apply 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 at StudySmarter!
How to prepare for a job interview at Physics X
✨Know Your Tech Stack
Make sure you’re well-versed in the languages and tools mentioned in the job description, especially Python, Go, and TypeScript. Familiarise yourself with Kubernetes, Docker, and Terraform as well. Being able to discuss how you've used these technologies in past projects will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've built and deployed AI agents or complex LLM workflows in production. Be ready to explain the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and ability to tackle real-world problems, which is crucial for this role.
✨Collaborate Like a Pro
Since the role involves working closely with domain experts, think of instances where you've successfully collaborated with others to solve complex issues. Highlight your communication skills and how you’ve translated technical concepts into actionable insights for non-technical stakeholders.
✨Emphasise Your Empirical Approach
Be prepared to discuss how you implement systematic evaluation loops and tracing in your work. Share specific metrics or outcomes from your previous projects that illustrate your commitment to reliability and improvement over time. This will resonate well with their focus on empirical measurement.
