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- Tasks: Build innovative AI solutions and enhance enterprise workflows with cutting-edge technology.
- Company: Join a dynamic tech company at the heart of the AI revolution.
- Benefits: Enjoy private healthcare, wellness perks, and exclusive community events.
- Other info: Be part of an exclusive builder community with networking opportunities and exciting events.
- Why this job: Make a real impact in AI while collaborating with top talent in a vibrant environment.
- Qualifications: Strong skills in Python, JavaScript, or TypeScript; passion for AI and data engineering.
The predicted salary is between 50000 - 70000 £ per year.
What we're Building: The context layer sits between an enterprise's siloed data and the agents that need to act on it. Stuff the context window and you trade quality for cost and latency. This gates most enterprise AI deployments we've seen, across private capital, professional services, edtech, and industrial data.
We built AI Brain, a knowledge graph platform engineered backwards from the agentic retrieval problem. Forward-deployed engineers wrap it around enterprise workflows we've templated. We retain each customisation as IP and feed it back into the platform, so each deployment gets faster, margins improve, and the moat widens. Clients include private capital firms, edtech, automotive data, professional services, and a growing list of global consultancies evaluating us against their internal GPT deployments.
In the last two weeks, we shipped a redesigned ingestion pipeline, primary entity extraction with auto-enrichment, and an end-to-end SP500 demo across 500 companies. SharePoint, Google Drive, Gmail, DealCloud, and the next source on the list. Primary entity consolidation, edge criteria, enrichment agents that decide when to call web search vs. js app where the graph, the reports, and the chat all meet the user.
By month three we'd expect you to have shipped real work in both the Python backend and the TypeScript frontend, and to have opinions about both.
- Frontend: Next.js (App Router), TypeScript, Tailwind, shadcn, deployed on Vercel
- Backend: FastAPI, Python 3.12, Pydantic everywhere
- Data: Postgres + Apache AGE (graph), moving toward AlloyDB Omni on GKE where it fits
- Infra: GCP - GKE, Cloud Run, Cloud SQL, Vertex AI, KMS
We are opinionated about code quality and use AI coding agents hard. If pairing with Claude Code all day sounds uncomfortable, we're probably an odd fit.
The community: 60x sits at the centre of Unicorn Mafia, the invite-only builder community we run. ~NY trips, hackathon weekends. Rooftop parties where the other guests are co-founders of major AI companies. We hand-pick who sits in the office to keep talent density high. Private healthcare and a wider wellness benefits package.
Strong fundamentals in at least one of Python, JavaScript or TypeScript. Something shipped, a project, a dissertation, an open-source contribution, a hackathon win, where you can walk us through architectural choices and what you'd do differently. Interest in knowledge graphs, retrieval systems, agent orchestration, or enterprise data engineering.
Engineer gezocht in London employer: 60x
Contact Detail:
60x Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer gezocht in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, hackathons, or even our rooftop parties. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! If you've got a project or an open-source contribution, make sure to highlight it. Be ready to discuss your architectural choices and what you learned from the experience.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing candidates who are genuinely interested in what we’re building. Tailor your approach to show how you can contribute to our mission.
✨Tip Number 4
Be prepared for technical discussions! Brush up on your Python, JavaScript, or TypeScript skills. We want to see that you can not only code but also have opinions about code quality and best practices.
We think you need these skills to ace Engineer gezocht in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see that you’re genuinely excited about what we’re building and how you can contribute to our mission.
Tailor Your Application: Make sure to customise your application to highlight your skills and experiences that align with the job description. We love seeing how your background fits into our context layer and the tech stack we use!
Be Clear and Concise: Keep your writing straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Show us your ability to communicate effectively, just like you would in a team setting.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at 60x
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, TypeScript, and FastAPI. Brush up on your knowledge of Next.js and Tailwind too. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, whether it's a dissertation, an open-source contribution, or a hackathon win. Be ready to dive into architectural choices and what you learned from those experiences. This will demonstrate your hands-on skills and problem-solving abilities.
✨Understand the Company’s Vision
Familiarise yourself with the company’s products and their approach to AI and data engineering. Knowing how they build their context layer and the importance of quality over cost will help you align your answers with their goals during the interview.
✨Be Ready for Technical Questions
Expect technical questions that test your understanding of knowledge graphs, retrieval systems, and agent orchestration. Practice explaining complex concepts in simple terms, as this will showcase your communication skills and ability to work collaboratively within a team.