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- Tasks: Build cutting-edge multimodal agents for gaming that learn and adapt like real players.
- Company: Exciting early-stage startup focused on innovative AI solutions in gaming.
- Benefits: Competitive salary up to £130k, equity options, and hybrid work model.
- Other info: Dynamic startup environment with opportunities for significant impact and growth.
- Why this job: Join a pioneering team transforming game testing with autonomous agents.
- Qualifications: Experience in applied AI, computer vision, and building multimodal systems.
The predicted salary is between 104000 - 130000 £ per year.
Founding Applied AI Engineer – Agentic Systems (Games) – upto £130k + Equity – Hybrid London
This is an early stage startup building autonomous agents that test games the way real players do. Not brittle automation. Proper agents that observe gameplay, reason over images and video frames, and take actions across real devices.
The goal is simple to say and hard to execute: make studios trust agents more than manual QA.
You’ll be building multimodal agents that operate inside live games, across mobile and desktop, handling inconsistent UIs, timing issues, network lag, and all the things that break naive automation.
This is about getting agents out of notebooks and into production.
What you’ll be building:
- Multimodal agents that reason over images and video, often across multiple frames, and decide what to do next
- Vision driven agents that interact with real games, tapping, swiping, clicking, navigating
- Automation that runs reliably across devices, OS versions, screen sizes, and edge cases
- Production grade agent systems that people trust to run unsupervised
You’re likely an Applied AI Engineer, Computer Vision Engineer, or similar, and you:
- Have built multimodal or vision based agents using images and video, not just text
- Background in Computer Vision (YOLO, ResNET, EfficientNET etc)
- Have worked in similarly messy technical environments, automation, robotics, device control, autonomy, AV, or complex UI driven systems
- Comfortable working with QA’s and Testing Leads to understand their workflows
Senior computer engineer in City of London employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior computer engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at startups or in AI. Attend meetups, webinars, and conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving multimodal agents or computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with automation and how you've tackled challenges in messy environments.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our mission. Tailor your application to highlight your relevant experience and passion for building reliable agent systems.
We think you need these skills to ace Senior computer engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Senior Computer Engineer. Highlight your experience with multimodal models and any relevant projects you've worked on that align with our mission at StudySmarter.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've built agents that handle complex environments, like games, and how you’ve tackled challenges in automation and device control.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about building autonomous agents and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like YOLO and ResNET. Brush up on your knowledge of multimodal models and how they apply to game testing. Being able to discuss your past projects and how they relate to the role will show that you’re not just a fit on paper.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially in messy technical environments. Think about how you’ve tackled issues with inconsistent UIs or network lag. This will demonstrate your ability to think critically and adapt, which is crucial for building reliable agent systems.
✨Understand the Company’s Vision
Research Agentic Systems and their approach to autonomous agents. Be ready to share your thoughts on their goal of making studios trust agents over manual QA. Showing that you align with their vision will make you stand out as a candidate who’s genuinely interested in the company’s mission.
✨Prepare Questions for Them
Have a few insightful questions ready to ask during the interview. Inquire about their current projects, the team dynamics, or how they envision the future of their agents. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.