At a Glance
- Tasks: Develop innovative agents that interface with code and design software for generative simulation.
- Company: Join a cutting-edge tech company at the forefront of AI and simulation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with endless opportunities to learn and grow.
- Why this job: Be part of groundbreaking projects that shape the future of AI and robotics.
- Qualifications: Experience with AI tools, strong problem-solving skills, and a passion for innovation.
The predicted salary is between 36000 - 60000 £ per year.
What You’ll Do
- Develop LM/VLM-powered agents that autonomously interface with code, GUI, web tools, and design software to drive generative simulation.
- Build agentic systems that synthesize high-quality, diverse physical data by orchestrating simulation, generative models, and interactive tools.
- Build data pipelines to curate, generate, and preprocess datasets used for training and evaluating language- and vision‑language‑based agents.
- Collaborate with simulation and infrastructure teams to co‑develop APIs, GUIs, and services that enable seamless interaction with physics engines and simulation environments.
- Drive innovation by staying at the forefront of LLM agents, autonomous tool use, and generative simulation — and translating cutting‑edge research into robust, production‑ready systems.
- Contribute to the creation of a generative simulation stack that empowers downstream applications in robotics, embodied AI, and physical reasoning.
What You’ll Bring
- A bold and imaginative vision for a next‑generation paradigm of physical data synthesis— combining simulation, generative models, and autonomous agents.
- Deep curiosity and strong technical ownership, with a track record of driving complex, open‑ended projects from concept to implementation.
- Experience with (multimodal) large language models, generative AI tools, agentic software design, GUI automation, program synthesis.
- Passion for inventing creative solutions at the edge of AI, simulation, and physical reasoning, with an eagerness to build systems that generate high‑fidelity, useful data for embodied intelligence.
- Bonus: Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators).
Member of Technical Staff, Data Agent (Paris, London) employer: Genesis AI
As a Member of Technical Staff in our Paris or London office, you will join a dynamic and innovative team dedicated to pushing the boundaries of AI and simulation technology. We offer a collaborative work culture that fosters creativity and technical ownership, alongside opportunities for professional growth through cutting-edge projects and mentorship. With a focus on developing next-generation solutions, our company provides a stimulating environment where your contributions will directly impact the future of embodied intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff, Data Agent (Paris, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to data synthesis and generative AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail—especially those that align with the role of a Data Agent.
✨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, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Member of Technical Staff, Data Agent (Paris, London)
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for AI and simulation in your application. Share any personal projects or experiences that highlight your creativity and technical skills. We love to see candidates who are genuinely excited about the work they’ll be doing!
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight relevant experience with large language models, generative AI tools, and any projects that showcase your ability to drive complex projects from concept to implementation. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Use it to explain your bold vision for physical data synthesis and how your background aligns with our goals. Keep it engaging and personal – we want to get to know you!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Genesis AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around large language models and generative AI tools. Brush up on your knowledge of agentic software design and GUI automation, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've driven complex, open-ended tasks from concept to implementation. Highlight your experience with data pipelines and how you've curated or generated datasets for training models. Real-world examples will make your skills stand out.
✨Collaborate Like a Pro
Since collaboration is key, think of examples where you’ve worked with cross-functional teams. Be ready to talk about how you’ve co-developed APIs or services that enhance interaction with simulation environments. This shows you can work well with others to drive innovation.
✨Stay Ahead of the Curve
Demonstrate your passion for innovation by discussing recent advancements in LLM agents and generative simulation. Share your thoughts on how these developments can be applied to create high-fidelity data for embodied intelligence. This will show your enthusiasm and forward-thinking mindset.
