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For Companies At a Glance
- Tasks: Build AI infrastructure and create personalised digital experiences for users.
- Company: Join a pioneering startup backed by top Silicon Valley investors.
- Benefits: Competitive salary, opportunity to shape the future of AI, and a dynamic work environment.
- Why this job: Become an expert in AI memory and context while making a real impact.
- Qualifications: Experience in ML/data science and knowledge of agentic AI trends.
- Other info: Work in London with a passionate team focused on innovation.
The predicted salary is between 108000 - 156000 £ 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 you
You 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
You will be a perfect fit if:
- 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
Our commitment to you
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 Slough employer: onFabric
Contact Detail:
onFabric Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and expertise in AI. We love seeing what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for interviews by researching our company and the role. Understand our mission and be ready to discuss how your experience aligns with building the Digital Self. We want to see your passion!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Don’t forget to answer all the questions we ask; it shows us you’re serious about joining our team.
We think you need these skills to ace Founding AI Engineer in Slough
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 building the future of digital assistants and how you can contribute to our mission.
Tailor Your Responses: Make sure to customise your answers to the specific questions we’ve asked. This is your chance to show us how your unique skills and experiences make you the perfect fit for the Founding AI Engineer role at StudySmarter.
Highlight Relevant Experience: Don’t forget to showcase your background in ML and data science, especially any projects that relate to AI memory and context engineering. We’re looking for someone who can blend traditional methods with cutting-edge trends, so make that clear!
Include All Required Links: Remember to attach your CV, GitHub, portfolio, and any other relevant links. This is crucial for us to get a full picture of your capabilities and past work, so don’t skip this step when applying through our website!
How to prepare for a job interview at onFabric
✨Know Your Stuff
Make sure you brush up on the latest trends in AI memory and context engineering. Familiarise yourself with the technologies and methodologies that are currently shaping the field. Being able to discuss these topics confidently will show that you're not just a candidate, but a passionate expert.
✨Showcase Your Experience
Prepare to talk about your previous work in traditional ML and data science. Have specific examples ready that demonstrate how you've applied your skills in real-world scenarios. This is your chance to highlight your unique contributions and how they relate to the role.
✨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 your personal goals align with theirs. This will help you connect on a deeper level and show that you're genuinely interested in being part of their journey.
✨Prepare Thoughtful Questions
Think of insightful questions to ask during the interview. This could be about their approach to AI personalization or how they envision the future of consumer agents. Asking thoughtful questions not only shows your interest but also helps you gauge if this is the right fit for you.
