At a Glance
- Tasks: Develop cutting-edge AI systems for gaming, focusing on Vision-Language Models and real-world applications.
- Company: Exciting early-stage AI startup revolutionising game testing with autonomous agents.
- Benefits: Competitive salary, flexible work environment, and the chance to shape the future of gaming.
- Other info: Opportunity to work closely with founders and define the company's technical direction.
- Why this job: Join a small, dynamic team and make a real impact in the gaming industry.
- Qualifications: Hands-on experience with Vision-Language Models and a passion for applied AI.
The predicted salary is between 60000 - 80000 £ per year.
We’re working with an early-stage AI startup tackling one of the biggest hidden problems in gaming. Every year, game studios spend countless hours on manual QA, repetitive testing, bug reproduction, and validation. This team believes developers should be spending their time building worlds, not chasing bugs. Their mission is to build autonomous AI agents capable of understanding and interacting with games much like a human player would. The company is still small, highly technical, and moving fast. They’ve already developed proprietary AI models that outperform some of the biggest names in the industry on key benchmarks, and they’re now looking for a Founding AI Engineer to help push the next generation of game-understanding systems into production.
The Role
This is not a research lab role. It is not an API-wrapper role either. You’ll sit at the intersection of cutting-edge AI research and real-world product development, owning core perception systems that help autonomous agents understand what is happening inside games. You’ll work directly on Vision-Language Models, video understanding, temporal reasoning, and production deployment. Your work will become the foundation upon which the company’s autonomous testing agents operate.
What You’ll Be Working On
- Fine-tuning and optimizing Vision-Language Models (VLMs)
- Building systems that understand gameplay from images and video
- Designing approaches that capture temporal context across multiple frames
- Training and evaluating models on large-scale gameplay datasets
- Improving inference speed, latency, and deployment efficiency
- Taking models from experimentation all the way into production
- Working closely with founders to shape the long-term AI roadmap
We’re Looking For Someone Who
- Has hands-on experience fine-tuning Vision-Language Models
- Has worked extensively with video data and temporal modeling challenges
- Enjoys applied AI and shipping production systems
- Can move comfortably between research and engineering
- Understands the trade-offs between accuracy, latency, scalability, and cost
- Has experience deploying ML systems into real-world environments
You may currently be an:
- AI Engineer
- Applied AI Researcher
- Machine Learning Engineer
- Computer Vision Engineer
- Multimodal AI Engineer
What matters most is that you’ve built things, not just studied them.
Nice To Have
- Experience with models such as LLaVA, CLIP, Flamingo, Gemini, Qwen-VL or similar architectures
- CUDA optimization experience
- PEFT, LoRA, quantization, or model compression techniques
- Real-time inference optimization
- MLOps and deployment experience
- Experience working with multimodal foundation models
You’ll Probably Enjoy This Role If
- You like solving difficult technical problems with real-world constraints
- You want ownership rather than a narrow specialization
- You enjoy working closely with founders
- You care about building products, not just publishing papers
- You want to help define the technical foundation of a company from an early stage
Not The Right Fit If
- You’re only interested in academic research
- You prefer highly structured corporate environments
- You avoid production responsibility
- Your experience with VLMs is mostly theoretical
This is an opportunity to join very early, work on genuinely challenging AI problems, and help build the future of autonomous game testing.
Founding AI Engineer in Peterborough employer: Stealth Startup
Join a pioneering AI startup that is redefining the gaming industry by developing autonomous agents to streamline game testing. As a Founding AI Engineer, you'll be part of a dynamic and innovative team, enjoying a collaborative work culture that prioritises hands-on problem-solving and direct impact on product development. With ample opportunities for personal and professional growth, this role offers a unique chance to shape the future of AI in gaming while working closely with visionary founders in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer in Peterborough
✨Tip Number 1
Network like a pro! Reach out to people in the gaming and AI sectors on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Vision-Language Models or game AI. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of video data and temporal modeling. Be ready to discuss your past experiences and how they relate to the role of Founding AI Engineer.
✨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 proactive about their job search.
We think you need these skills to ace Founding AI Engineer in Peterborough
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and gaming shine through. We want to see that you’re not just ticking boxes but genuinely excited about tackling the challenges in game testing with cutting-edge technology.
Highlight Relevant Experience:Make sure to showcase your hands-on experience with Vision-Language Models and any projects where you've tackled video data or temporal modeling. We’re looking for real-world applications, so don’t hold back on the details!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your skills and experiences without wading through fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Stealth Startup
✨Know Your AI Models Inside Out
Make sure you’re well-versed in the Vision-Language Models and any other relevant architectures like CLIP or LLaVA. Be ready to discuss your hands-on experience with these models, including any fine-tuning or optimization you've done.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in deploying ML systems or working with video data. Highlight how you approached these problems and the solutions you implemented, especially in real-world environments.
✨Understand the Company’s Mission
Familiarise yourself with the startup's goal of reducing manual QA in gaming. Be prepared to discuss how your skills can contribute to building autonomous AI agents that enhance gameplay understanding and testing.
✨Demonstrate Your Passion for Product Development
This role is all about applying AI in a practical setting, so express your enthusiasm for shipping products rather than just conducting research. Share examples of projects where you took models from experimentation to production.
