At a Glance
- Tasks: Transform aircraft maintenance with AI systems and collaborate on innovative workflows.
- Company: Exciting aerospace AI startup backed by Susa Ventures with significant funding.
- Benefits: Competitive salary, equity options, and the chance to shape the future of aviation.
- Other info: Dynamic role with opportunities for rapid career growth and innovation.
- Why this job: Join an elite team making a real impact in global aerospace maintenance.
- Qualifications: 2+ years in AI systems, strong Python skills, and an entrepreneurial mindset.
The predicted salary is between 80000 - 120000 £ per year.
You will own the AI systems transforming aircraft maintenance from paper-heavy manual processes into intelligent automated workflows. Working closely with founders from aerospace and ML backgrounds, you'll build production-grade LLM integrations and voice agents that capture technician expertise in real-time, directly impacting how the world’s aircraft are maintained and manufactured.
Location: London, UK
Why this role is remarkable:
- Join an elite team that has launched airlines and put satellites into orbit, supported by an advisory board of former OEM heads and Gulfstream leaders.
- Significant financial backing from Susa Ventures (early investors in Robinhood and Flexport) and Liquid 2 VC (early backers of Anduril), with a valuation that doubled within a year.
- High-impact founding role where your code defines critical infrastructure for global aerospace MROs across three continents, solving a massive technician shortage.
What You Will Do:
- Architect and ship production AI systems end-to-end, including LLM integrations, voice agents, and robust evaluation frameworks.
- Collaborate directly with founders to translate complex aerospace maintenance requirements into clean, usable AI products and data pipelines.
- Take full ownership of the technical stack across Python, FastAPI, and Azure, making pivotal decisions that shape the company’s core platform.
The Ideal Candidate:
- 2+ years of experience building and shipping production AI systems using Python, PyTorch, and LLMs (OpenAI/Anthropic) integrated into real-world user workflows.
- Strong proficiency in backend engineering and MLOps, with the ability to own systems from data infrastructure to user-facing interfaces.
- Entrepreneurial mindset comfortable with the 0→1 journey, thriving in ambiguous environments where speed, autonomy, and clean code are equally valued.
Founding AI Engineer (£80k-£120k + Equity) at Susa Ventures-backed aerospace AI startup in London employer: Jack & Jill
As a founding AI engineer at our Susa Ventures-backed aerospace AI startup in London, you'll be part of a pioneering team dedicated to revolutionising aircraft maintenance through cutting-edge technology. We offer a dynamic work culture that fosters innovation and collaboration, alongside significant growth opportunities as you shape the future of aerospace with your expertise. With competitive compensation, equity options, and the chance to work closely with industry leaders, this role is not just a job—it's a chance to make a meaningful impact in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer (£80k-£120k + Equity) at Susa Ventures-backed aerospace AI startup in London
✨Tip Number 1
Network like a pro! Reach out to people in the aerospace and AI sectors, especially those connected to Susa Ventures. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and voice agents. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and MLOps knowledge. Practice coding challenges and be ready to discuss how you've tackled real-world problems in your previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Founding AI Engineer (£80k-£120k + Equity) at Susa Ventures-backed aerospace AI startup in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and aerospace shine through. We want to see how your experience aligns with our mission to transform aircraft maintenance. Share specific projects or achievements that highlight your skills in building production AI systems.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with Python, PyTorch, and LLMs, and explain how you've tackled challenges in previous roles. We love seeing candidates who take the time to connect their background to what we’re doing at StudySmarter.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary and avoid jargon unless it’s relevant to the role. Remember, clarity is key when showcasing your technical expertise!
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 us you’re serious about joining our team and contributing to our exciting journey in aerospace AI.
How to prepare for a job interview at Jack & Jill
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially in Python and LLMs. Be ready to discuss your past projects and how you've integrated AI into real-world workflows. This role is all about transforming processes, so show them you can do it!
✨Understand the Aerospace Industry
Familiarise yourself with the aerospace sector, particularly maintenance processes. Knowing the challenges faced by technicians and how AI can solve these issues will set you apart. It’s not just about coding; it’s about making a real impact in a critical industry.
✨Show Your Entrepreneurial Spirit
This role requires an entrepreneurial mindset, so be prepared to share examples of how you've thrived in ambiguous situations. Talk about times when you took initiative or made pivotal decisions that shaped a project. They want to see your passion for innovation!
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision and the specific challenges they face in AI integration. This shows your genuine interest in the role and helps you understand if this startup aligns with your career goals. Plus, it makes for a great conversation starter!
