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- Tasks: Build AI agents and shape the future of data reasoning for enterprises.
- Company: Join a high-growth AI data startup as their first engineering hire.
- Benefits: Competitive salary, equity, and the chance to influence product strategy.
- Why this job: Be employee #1 and make a real impact in a fast-paced environment.
- Qualifications: Experience in TypeScript/React and Python, with a passion for innovation.
- Other info: Unique opportunity for career growth in a dynamic startup culture.
The predicted salary is between 100000 - 150000 £ per year.
Salary: £100k–150k + Equity
Company Description:
High-growth AI data startup.
Job Description:
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 in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer (£100k–150k + Equity) at High-growth AI data startup in London
✨Tip Number 1
Get to know Jack! He’s your first step towards landing that Founding Engineer role. Have a chat with him to showcase your skills and ambitions; it’s all about making that personal connection.
✨Tip Number 2
Be ready to talk about your past projects. Highlight your experience in building and shipping products, especially in AI and data engineering. This is your chance to show off your expertise and how you can contribute to the startup's vision.
✨Tip Number 3
Embrace the ambiguity! Startups thrive on fast-paced environments, so demonstrate your comfort with uncertainty and your ability to adapt quickly. Share examples of how you've thrived in similar situations before.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure Jill sees your application. Plus, we’re here to support you every step of the way, so take advantage of our free services!
We think you need these skills to ace Founding Engineer (£100k–150k + Equity) at High-growth AI data startup in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and data shine through. We want to see that you’re not just looking for a job, but that you’re genuinely excited about building the future of AI technology.
Highlight Relevant Experience: Make sure to showcase your experience with TypeScript, Python, and any relevant projects you've worked on. We love seeing real examples of your work, so don’t hold back on sharing your achievements!
Tailor Your Application: Don’t send a generic application! Take the time to tailor your CV and cover letter to this specific role. Mention how your skills align with the responsibilities listed in the job description – it’ll make you stand out to us.
Apply Through Our Website: Remember, the best way to get your application in front of us is by applying through our website. It’s super easy, and it ensures that we get all your details right from the start. So, don’t hesitate – get started today!
How to prepare for a job interview at Jack & Jill/External Ats
✨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 coding tools and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Highlight your experience with building scalable data pipelines and any innovative solutions you've implemented.
✨Embrace the Startup Mindset
This role requires comfort with ambiguity and a fast-paced environment. Be ready to discuss how you've thrived in similar situations and your approach to taking initiative in a startup setting.
✨Align with Their Vision
Research the company’s mission and values. Be prepared to articulate how your skills and experiences align with their goals, especially in shaping the technical foundation of their AI platform.
