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- Tasks: Build AI infrastructure and create personalised digital experiences for users.
- Company: Join a pioneering tech startup with a mission to revolutionise AI interactions.
- Benefits: Competitive salary, opportunity to shape the future of AI, and a dynamic work environment.
- Why this job: Be at the forefront of AI innovation and make a real impact on everyday life.
- Qualifications: Experience in ML/data science and knowledge of the latest AI trends.
- Other info: Work in London with a passionate team dedicated to building something extraordinary.
The predicted salary is between 108000 - 168000 £ per year.
We are building the infrastructure enabling your favourite AI agents to provide you with services tailored to your preferences. With Fabric, agents become truly personal assistants that can help you in your daily life, instead of boring chatbots. This is possible thanks to your Digital Self, the most accurate representation of your interests, created from the searches, prompts, likes and stories that you spread around the Internet.
We are the first company in the world to have access to rich personal context from Instagram stories, Google searches, TikTok & YouTube videos, ChatGPT prompts and much more. We are using it to personalise your consumer AI experiences according to your preferences. We raised $3 million from some of the best Silicon Valley consumer and data investors and are assembling a world-class founding team to build the personalisation layer for consumer agents.
We are looking for an AI engineer who wants to become the world’s expert in AI memory and context engineering.
About youYou should have experience in traditional ML / data science but also be up to speed with the latest agentic AI trends. You should also be able to blend the long-term thinking necessary in AI research with the urgency required for a startup to maintain the lead.
Some things you will be working on:- Training models to turn user data from Big Tech companies into a user’s Digital Self
- Frontier research on AI memory and context engineering
- Providing context to consumer agents via MCP and A2A
- Building a great company is your top priority in life
- You are extremely hard working and internally motivated
- You expect the same from the people you work with
We offer tons of work and the opportunity to build an infrastructure that will weave itself into the fabric of everyday life. Total compensation ranges from $150K to $220K. You must already be based in London and have your own authorisation to work in the UK. We will not sponsor your visa so please do not apply if you require visa sponsorship.
Apply directly or reach out to ceo@onfabric.io. Please answer all of the following to be considered, we will reject your application if you don’t answer these: why you are exceptional, why Fabric, CV, Github, portfolio, and any other relevant links we should see.
Founding AI Engineer in City of London employer: onFabric
Contact Detail:
onFabric Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer in City of London
✨Tip Number 1
Get to know the company inside out! Research Fabric's mission, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for the interview by practising common questions and showcasing your skills. Think about how your experience aligns with the role of an AI engineer and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows your enthusiasm for the position. Plus, it keeps you on their radar!
We think you need these skills to ace Founding AI Engineer in City of London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for AI and personalisation shine through. We want to see why you're excited about the role and how it aligns with your career goals.
Be Specific: Don't just say you're great at machine learning; give us examples! Share specific projects or experiences that highlight your skills in traditional ML and the latest trends in agentic AI. We love details!
Tailor Your Responses: Make sure to answer all the questions we've asked in the job description. This is your chance to show us why you’re exceptional, so tailor your responses to reflect your unique strengths and experiences.
Include Relevant Links: Don’t forget to attach your CV, GitHub, portfolio, or any other links that showcase your work. We want to see what you've done, so make it easy for us to check out your skills!
How to prepare for a job interview at onFabric
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and machine learning. Familiarise yourself with concepts like AI memory and context engineering, as these are crucial for the role. Being able to discuss recent advancements will show your passion and expertise.
✨Showcase Your Experience
Prepare to talk about your previous projects and how they relate to the job. Highlight any experience you have with user data from big tech companies and how you've used it to create personalised experiences. Concrete examples will make you stand out.
✨Align with Their Vision
Understand Fabric's mission and values. Be ready to explain why building a great company is your top priority and how you can contribute to their vision of creating personal assistants that truly understand users. This alignment can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's future, their approach to AI, and the team culture. This not only shows your interest but also helps you gauge if this is the right fit for you. Remember, interviews are a two-way street!
