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For Companies At a Glance
- Tasks: Create advanced AI-powered browser agents to automate complex tasks and improve workflows.
- Company: Join Asteroid, a pioneering tech startup transforming AI automation.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact on the future of work.
- Qualifications: Experience in building LLM systems and a passion for solving complex technical challenges.
- Other info: Work alongside experienced AI engineers in a dynamic and collaborative setting.
The predicted salary is between 79200 - 112320 £ per year.
Overview
This range is provided by Asteroid (YC W25). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Asteroid is building mission control for AI agents, enabling any company to easily onboard AI browser workers. We’re starting by building browser agents that automate complex browser tasks like form filling and data retrieval, with a focus on reliability and security. We have the opportunity to free humans from tedious, repetitive computer-based labor, empowering them to focus on more meaningful work. Your mission as our Founding AI Engineer is to help make this a reality. You’ll pioneer the creation of advanced AI-powered browser agents, redefining how businesses automate critical workflows. You’ll own agent architecture, prompt engineering, observability, evaluation, and scaling, rapidly translating cutting-edge AI research into scalable, customer-ready solutions. Your experience building AI-driven agents, iterative mindset, and high-impact decisions will shape not only our product but our entire company culture from day one.
This Job is Perfect for You If
- You want complete ownership over green fields LLM engineering projects from research to deployment
- You\’ve previously built LLM applications from scratch with real users either as a founder, founding engineer, or a principal engineer
- You like to ship fast but you know when technical debt needs to be tackled
- You take pride in building elegant, scalable software
- You want to be surrounded by a team who thrives on shipping and solving hard technical problems
- You like to think about the good and bad futures for humanity in a world where AI agents automate large parts of the economy
Qualifications
- Proven experience building, deploying, and maintaining LLM-based systems that operate at scale
- Experience with LLM evals. You have felt the pain of trying to evaluate LLM-based systems
- Ability to translate customer feedback into specific LLM pipeline improvements
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Software Engineering, Informatics, or a closely related technical field
- (Preferred) Experience with browser orchestration (fleet management, hot pooling etc.)
Tech Stack
- Core Technologies: Go, TypeScript, Python, Playwright
- AI Tools: OpenAI, Anthropic, Computer Use, HuggingFace, Observability + Evals frameworks
- Infrastructure: GCP, Docker, Kubernetes, Terraform
What You\’ll Build
- Robust browser automation systems powered by advanced computer-use AI models, enabling reliable, scalable agents that interact visually with browsers.
- Innovative graph-based workflow frameworks leveraging LLMs for deterministic browser automation, including automated agent-building pipelines that convert textual and video descriptions into ready-to-use workflows.
- Automated feedback loops translating human insights directly into prompt and workflow updates, supported by evaluation frameworks to measure and enhance model, prompt, and workflow improvements.
- Backtesting infrastructure to thoroughly validate system enhancements prior to deployment.
- Deterministic guardrails ensuring safe, predictable execution, especially for high-risk internal systems and portals.
- Rigorous evaluation and integration of cutting-edge open-source Vision-Language-Action GUI models.
- Direct customer deployments facilitating rapid iteration driven by real-world feedback and performance data.
Base pay range
$110,000.00/yr – $160,000.00/yr
About Us
We’re David & Joe, both AI engineers. David has built everything from robots and algorithms for a space agency to AI agents. He studied at top universities in the Czech Republic, Singapore, Israel and UK, crowdfunding his tuition fees. David loves nature, tennis, his family dog, and Czech pilsner. Joe has been researching and building LLM-based systems since GPT-2; he designed and built Netcraft’s Scam Intelligence system, an LLM-powered initiative that engages with scammers to extract bank details. His agent runs at scale and disrupts fraud. Joe is an avid mountaineer and adventurer. We’re excited to help integrate generally intelligent systems into the global economy.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- Software Development
Note: Referrals increase your chances of interviewing at Asteroid (YC W25) by 2x
Greater London, England, United Kingdom
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Founding AI Engineer employer: Asteroid (YC W25)
Contact Detail:
Asteroid (YC W25) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those connected to Asteroid. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've built any LLM applications or AI-driven projects, create a portfolio or a GitHub repo. This way, you can demonstrate your expertise and passion directly to the team at Asteroid.
✨Tip Number 3
Prepare for the interview by diving deep into Asteroid's mission and tech stack. Understand how your experience aligns with their goals, and be ready to discuss how you can contribute to building those advanced browser agents.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Asteroid team.
We think you need these skills to ace Founding AI Engineer
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with LLM-based systems. We want to see how you've built and deployed these systems in the past, so don’t hold back on the details!
Tailor Your Application: Make your application stand out by tailoring it to our mission at Asteroid. Mention how your skills align with building AI agents that automate tasks and improve workflows. We love seeing candidates who understand our vision!
Be Authentic: Let your personality shine through in your application. We’re a small team, and we value authenticity. Share your passion for AI and how you envision contributing to our culture and projects.
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 Asteroid (YC W25)
✨Know Your Tech Stack
Familiarise yourself with the core technologies mentioned in the job description, like Go, TypeScript, and Python. Be ready to discuss your experience with these languages and how you've used them in past projects, especially in building LLM applications.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex technical challenges in previous roles. Highlight your iterative mindset and how you've made high-impact decisions that shaped your projects. This will resonate well with their focus on solving hard technical problems.
✨Understand the Company’s Mission
Dive deep into Asteroid's mission of automating tedious tasks with AI agents. Be prepared to discuss your thoughts on the future of AI in the workplace and how you can contribute to making their vision a reality. This shows you're aligned with their goals.
✨Prepare for Technical Questions
Expect questions about LLM evaluation and browser orchestration. Brush up on your knowledge of these areas and think about how you can translate customer feedback into specific improvements. Being able to articulate this will demonstrate your expertise and readiness for the role.