At a Glance
- Tasks: Own the agent platform and build cutting-edge AI infrastructure for high-stakes applications.
- Company: Join a high-growth AI startup backed by leaders from Meta, Palantir, and SpaceX.
- Benefits: Top-tier London compensation, EMI-eligible equity, and budgets for AI experimentation.
- Other info: Dynamic startup environment with significant growth potential.
- Why this job: Make a real impact in AI while working with an elite founding team.
- Qualifications: Experience in TypeScript and production-level LLM features is essential.
The predicted salary is between 80000 - 100000 £ per year.
Pre-Series A AI-native risk infrastructure startup backed by leaders from Meta, Palantir, and SpaceX.
You will own the agent platform for an enterprise AI startup already generating seven-figure revenue. Your work involves building the orchestration and reliability infrastructure that turns frontier models into high-stakes production features. You will define the technical standard for agentic systems across financial services, healthcare, and regulated technology sectors.
Location: London, UK
Benefits:
- Join an elite founding team of Palantir, Oxford, and Stanford alumni at a company that achieved seven-figure revenue within months of launch.
- Work at the extreme frontier of LLM application; the team recently identified and reported critical bugs in Anthropic's core API during production stress-testing.
- Benefit from top-decile London compensation, meaningful EMI-eligible equity, and significant budgets for specialized AI tooling and API experimentation.
What You Will Do:
- Architect and scale agent scaffolding including tool use, context management, sandboxing, and prompt-injection defense mechanisms.
- Develop production-grade evaluation infrastructure for fuzzy, high-stakes outputs using dataset curation and LLM-as-judge methodologies.
- Build robust reliability systems including circuit breakers, fallbacks, and prompt versioning to ensure enterprise-grade stability.
Ideal Candidate:
- Professional backend experience in TypeScript with at least 1–2 years specifically shipping production-level LLM features and agent frameworks.
- Deep understanding of systems engineering principles like async queues, idempotency, and regression testing under model swaps.
- Proven ability to own AI quality end-to-end, with the technical confidence to define and enforce shipping standards for complex agentic workflows.
Founding Engineer, Agent Systems at high-growth AI risk startup with seven-figure revenue employer: Jack & Jill
Join a pioneering AI risk startup in London, where you'll be part of an elite founding team comprised of alumni from Palantir, Oxford, and Stanford. With a strong focus on innovation and growth, the company offers top-tier compensation, EMI-eligible equity, and ample resources for cutting-edge AI development, fostering a collaborative and dynamic work culture that prioritises employee growth and meaningful contributions to high-stakes projects.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Engineer, Agent Systems at high-growth AI risk startup with seven-figure revenue
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jack & Jill or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Jack & Jill.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Jack & Jill.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Jack & Jill that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Founding Engineer, Agent Systems at high-growth AI risk startup with seven-figure revenue
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jack & Jill.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jack & Jill and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jack & Jill uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
