At a Glance
- Tasks: Build and launch innovative AI-driven SaaS products from scratch.
- Company: Join a VC-backed AI venture studio with a dynamic culture.
- Benefits: Competitive salary, equity stake, and rapid career growth.
- Other info: Work closely with top content creators and enjoy a fast-paced environment.
- Why this job: Be a founding engineer and shape the future of multiple startups.
- Qualifications: Experience in full-stack development and a passion for AI technologies.
The predicted salary is between 40000 - 80000 £ per year.
Company Description: VC-backed AI venture studio.
As the first engineering hire, you will build and launch multiple creator‑led SaaS products from 0 to 1. Using AI‑native development tools to achieve 10x shipping velocity, you’ll architect scalable foundations, collaborate with high‑reach content creators, and influence the technical direction of an entire portfolio of emerging startups.
Location: London, UK
Why this role is remarkable:
- Ship multiple unique products per year rather than iterating on a single feature, gaining unparalleled career velocity and product‑market fit experience.
- Secure a meaningful founding equity stake in a studio backed by top‑tier VCs, positioning you as a key stakeholder in every venture built.
- Work at the cutting edge of AI‑native engineering, using LLMs and agents as core teammates to bypass boilerplate and solve complex architectural challenges.
What you will do:
- Build production‑ready full‑stack applications using React, Next.js, and Python, moving from prototype to pilot in days rather than weeks.
- Architect reusable component libraries and multi‑agent systems that serve as the technical engine for a portfolio of creator‑led businesses.
- Collaborate directly with world‑class content creators to translate audience needs into functional software features and debug user feedback in real‑time.
The ideal candidate:
- An AI‑native developer who treats tools like Cursor, GitHub Copilot, or v0 as essential pair‑programmers to maintain extreme shipping velocity.
- A proven product builder with 0–4 years of experience who has successfully launched side projects, hackathon winners, or open‑source tools to real users.
- A high‑agency engineer with full‑stack proficiency in TypeScript and Python who thrives in ambiguous, fast‑paced startup environments and takes extreme ownership.
Founding AI Software Engineer (£40k-£80k + Equity) at Affinitylabs.ai employer: Jack & Jill
Affinitylabs.ai is an exceptional employer for aspiring AI Software Engineers, offering a unique opportunity to be the first engineering hire in a VC-backed venture studio located in London. With a focus on rapid product development and collaboration with top content creators, employees benefit from unparalleled career growth, meaningful equity stakes, and a dynamic work culture that embraces innovation and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Software Engineer (£40k-£80k + Equity) at Affinitylabs.ai
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those connected to Affinitylabs.ai. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially any AI-related work. If you've built anything using React, Next.js, or Python, make sure it’s front and centre. This is your chance to demonstrate your full-stack prowess and creativity!
✨Tip Number 3
Prepare for the interview by understanding the company’s mission and products. Dive deep into their tech stack and think about how you can contribute as a founding engineer. Bring ideas to the table that show you’re ready to take ownership and drive innovation!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. Don’t just send your CV; include a brief note about why you’re excited about this role and how you can make an impact!
We think you need these skills to ace Founding AI Software Engineer (£40k-£80k + Equity) at Affinitylabs.ai
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! Share any personal projects or experiences that highlight your love for AI and how you’ve used it in your work. We want to see that spark!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your full-stack experience and any relevant projects you've worked on. We’re looking for someone who can hit the ground running, so show us how you fit the bill!
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. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like React, Next.js, and Python. Brush up on your full-stack development skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Projects
Prepare to talk about your previous work, especially any side projects or hackathon wins. Highlight how you’ve built products from scratch and the impact they had. This will demonstrate your ability to take ownership and deliver results.
✨Understand the AI Landscape
Since this role is focused on AI-native development, it’s crucial to have a solid understanding of AI concepts and tools. Be prepared to discuss how you’ve integrated AI into your projects and how you see it evolving in the future.
✨Collaborate and Communicate
This position involves working closely with content creators, so practice articulating your ideas clearly. Think of examples where you’ve successfully collaborated with others to solve problems or gather feedback, as this will show your teamwork skills.
