At a Glance
- Tasks: Build groundbreaking systems for adversarial dispute resolution and fact-checking.
- Company: AI-native startup focused on innovative truth infrastructure.
- Benefits: Competitive salary, equity options, remote-first work, and unique global summits.
- Other info: Enjoy a hybrid lifestyle with deep work weeks and exciting global meet-ups.
- Why this job: Join a mission to redefine truth with cutting-edge AI technology.
- Qualifications: Full-stack engineering experience and expertise in AI tooling.
The predicted salary is between 80000 - 110000 £ per year.
AI-native truth infrastructure startup building a platform for adversarial dispute resolution.
Location: London, UK (Remote-First)
You will build greenfield systems for structured adjudication, creating the world's first adversarial fact-checking platform. Working across the full stack, you'll develop ELO rating engines and AI-assisted evidentiary tools. This role combines deep asynchronous work with high-intensity monthly global summits, providing a unique opportunity to define a new category of civilizational scale infrastructure.
Why this role is remarkable:
- Work on category-defining truth infrastructure that uses adversarial AI and structured methodology to solve global-scale adjudication challenges.
- Unique hybrid lifestyle: 3 weeks of deep asynchronous work per month followed by a mandatory one-week summit in cities like Nassau, NYC, or London.
- High-autonomy environment where you own features end-to-end, from architecture to deployment, within a small team of elite engineers.
What You Will Do:
- Design and architect real-time adversarial workflows and AI-native systems for structured argumentation and dispute resolution.
- Integrate large language models and agentic programming patterns into the core product to automate evidentiary analysis and adjudication.
- Build and scale robust data pipelines and the infrastructure layer necessary to support a global platform for adversarial fact-checking.
The ideal candidate:
- Proficient in full-stack software engineering with a track record of shipping production-grade products in high-velocity, high-ambiguity environments.
- Expert in modern AI tooling and LLM integration, specifically focused on agentic programming and automated workflow design.
- Exceptional written communicator who thrives in asynchronous work environments and possesses a high bias toward rapid building and iteration.
Agentic Engineer — Full Stack ($100k-$150k + Equity) at AI-native truth infrastructure startup in London employer: Jack & Jill
Join an innovative AI-native truth infrastructure startup in London, where you'll have the opportunity to work on groundbreaking projects that redefine dispute resolution. With a remote-first approach and a unique hybrid lifestyle, you can enjoy deep asynchronous work complemented by high-energy global summits, fostering a culture of autonomy and collaboration among elite engineers. The company prioritises employee growth, offering a dynamic environment that encourages rapid iteration and the integration of cutting-edge AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic Engineer — Full Stack ($100k-$150k + Equity) at AI-native truth infrastructure startup in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that align with adversarial AI and structured workflows. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to full-stack development. Don’t forget to brush up on your knowledge of AI tooling and LLM integration, as these are hot topics in the field right now.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your experience with high-autonomy environments and your ability to thrive in asynchronous work settings.
We think you need these skills to ace Agentic Engineer — Full Stack ($100k-$150k + Equity) at AI-native truth infrastructure startup in London
Some tips for your application 🫡
Show Your Passion for AI and Engineering:When writing your application, let us see your enthusiasm for AI and full-stack engineering. Share specific projects or experiences that highlight your skills and how they relate to our mission of building a truth infrastructure.
Tailor Your Application:Make sure to customise your application to reflect the job description. Use keywords from the listing, like 'adversarial workflows' and 'AI-native systems', to show that you understand what we're looking for and how you fit into the role.
Highlight Asynchronous Communication Skills:Since we thrive in asynchronous work environments, emphasise your written communication skills. Share examples of how you've successfully collaborated remotely, ensuring clarity and efficiency in your interactions.
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 this exciting opportunity to shape the future of dispute resolution.
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. Brush up on your full-stack skills, especially around AI tooling and LLM integration. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Asynchronous Work Style
Since this role involves deep asynchronous work, prepare examples that highlight your ability to thrive in such environments. Talk about how you manage your time, communicate effectively, and deliver results without constant oversight.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, particularly in high-ambiguity situations. Think of scenarios where you had to design or architect a solution from scratch and be ready to walk through your thought process.
✨Communicate Clearly and Confidently
As an exceptional written communicator is a must for this role, practice articulating your thoughts clearly. Whether it’s discussing technical concepts or your past experiences, clarity will help you stand out during the interview.
