At a Glance
- Tasks: Build AI agents and automate complex data reasoning for enterprise industries.
- Company: Join a high-growth AI data startup as the first engineering hire.
- Benefits: Competitive salary, equity, and the chance to shape product strategy.
- Other info: Work in a fast-paced environment with significant career growth potential.
- Why this job: Be employee #1 and directly influence the future of AI technology.
- Qualifications: Experience in TypeScript/React and Python with a strong product delivery track record.
The predicted salary is between 100000 - 150000 € per year.
As the first engineering hire, you will build AI agents that automate complex data reasoning for enterprise industries. You will own features end‑to‑end across AI orchestration, data engineering, and multi‑tenant infrastructure. This is a high‑autonomy role designed for an exceptional engineer ready to shape the technical foundation of a next‑generation intelligence platform.
Location: London, UK
Why this role is remarkable:
- Join as employee #1 with significant equity and direct influence on product strategy alongside the founders.
- Backed by top‑tier venture programs and working directly with major enterprise clients on production AI systems.
- Unique opportunity to work at the intersection of LLM orchestration and high‑stakes, unstructured data processing.
What You Will Do:
- Build and deploy production‑grade LLM orchestration frameworks and evaluation loops using Python and TypeScript.
- Design scalable data pipelines and medallion architecture to ingest and transform heterogeneous data sources.
- Architect secure, multi‑tenant cloud infrastructure and manage end‑to‑end feature delivery for enterprise customers.
The ideal candidate:
- Proven track record of building and shipping real products with a high bias for action and speed.
- Proficiency in TypeScript/React and Python, with a mastery of modern AI coding tools to maximize output.
- Comfortable with ambiguity and a 6‑day startup work cycle in a fast‑paced, high‑accountability environment.
Founding Engineer (£100k–150k + Equity) at High-growth AI data startup employer: Jack & Jill
As a founding engineer at our high-growth AI data startup in London, you will be part of a dynamic and innovative team that values autonomy and creativity. With significant equity on offer and the chance to directly influence product strategy, you'll thrive in a culture that fosters collaboration and rapid growth, while working on cutting-edge AI technologies that address real-world challenges for enterprise clients.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Engineer (£100k–150k + Equity) at High-growth AI data startup
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those connected to startups. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the industry.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and data engineering. This is your chance to demonstrate your expertise and passion for building innovative solutions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨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 Engineer (£100k–150k + Equity) at High-growth AI data startup
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and data. Share any projects or experiences that highlight your skills in building AI systems, as this will resonate with our mission at StudySmarter.
Tailor Your CV:Make sure your CV is tailored to the role of Founding Engineer. Highlight your experience with Python, TypeScript, and any relevant projects that demonstrate your ability to build scalable systems. We want to see how you can contribute to our high-growth environment!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your achievements and skills. Remember, we’re looking for someone who can communicate effectively in a fast-paced startup!
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 this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and TypeScript, as these are crucial for the role. Brush up on your knowledge of AI orchestration and data pipelines, and be ready to discuss your past projects that showcase your skills in these areas.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach building scalable data pipelines or architecting secure cloud infrastructure. This will demonstrate your ability to think critically and act swiftly in a startup environment.
✨Emphasise Your Autonomy and Initiative
As the first engineering hire, they’ll want someone who can take charge. Share examples from your previous roles where you took the lead on projects or made significant decisions independently. This will highlight your readiness for a high-autonomy role.
✨Align with Their Vision
Research the company’s mission and values, especially their focus on AI and enterprise solutions. Be prepared to discuss how your personal goals align with theirs and how you can contribute to shaping the technical foundation of their platform.
