At a Glance
- Tasks: Transform aircraft maintenance with AI systems and collaborate on innovative tech solutions.
- 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 a pioneering 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.
Aerospace AI startup with $5.2M in funding.
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 employer: Jack & Jill
As a founding AI engineer at our Susa Ventures-backed aerospace startup in London, you'll be part of a pioneering team dedicated to revolutionising aircraft maintenance through cutting-edge AI technology. We offer a dynamic work culture that fosters innovation and collaboration, alongside competitive salaries and equity options, ensuring that your contributions are recognised and rewarded. With significant financial backing and a focus on employee growth, this role provides a unique opportunity to shape the future of aerospace while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer (£80k-£120k + Equity) at Susa Ventures-backed aerospace AI startup
✨Tip Number 1
Network like a pro! Reach out to people in the aerospace and AI sectors, especially those connected to startups. Use platforms like LinkedIn to connect with founders or employees at Susa Ventures-backed companies; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and LLMs. When you get the chance to chat with potential employers, share your work and how it relates to their needs—this will make you stand out!
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and tech stack. Understand how your experience aligns with their goals, especially in transforming aircraft maintenance. Tailor your responses to highlight your entrepreneurial mindset and ability to thrive in fast-paced environments.
✨Tip Number 4
Don’t just apply anywhere—apply through our website! We’re looking for passionate individuals who want to make a real impact in the aerospace industry. Make sure your application reflects your enthusiasm for the role and the unique contributions you can bring to the team.
We think you need these skills to ace Founding AI Engineer (£80k-£120k + Equity) at Susa Ventures-backed aerospace AI startup
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 relevant 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 do!
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: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 us you’re proactive and keen to join our team!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, PyTorch, and Azure. Brush up on your experience with LLMs and be ready to discuss how you've integrated them into real-world workflows.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you faced while building AI systems and how you overcame them. This will demonstrate your entrepreneurial mindset and ability to thrive in ambiguous environments.
✨Understand the Aerospace Industry
Familiarise yourself with the aerospace maintenance landscape and the challenges it faces, such as technician shortages. Being able to speak knowledgeably about these issues will show your genuine interest in the role and how your skills can make a difference.
✨Ask Insightful Questions
Prepare thoughtful questions for your interviewers about the company’s vision, the team dynamics, and the specific projects you might work on. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
