At a Glance
- Tasks: Join a dynamic team to build innovative AI solutions and enhance enterprise workflows.
- Company: 60x, a cutting-edge AI company at the forefront of knowledge graph technology.
- Benefits: Enjoy private healthcare, wellness perks, and exciting team socials.
- Other info: Access to an exclusive community of top talent and unique networking opportunities.
- Why this job: Be part of a fast-paced environment where your work directly impacts AI advancements.
- Qualifications: Strong skills in Python or JavaScript, with a passion for AI and data engineering.
The predicted salary is between 50000 - 70000 € per year.
What We're Building
Frontier models now score above 170 on IQ tests. Reasoning isn’t the bottleneck. Context is. 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. Use naive RAG and retrieval breaks the moment the question gets interesting. This gates most enterprise AI deployments we’ve seen, across private capital, professional services, edtech, and industrial data. 60x solves this. We built AI Brain, a knowledge graph platform engineered backwards from the agentic retrieval problem. Primary entity consolidation, chunk‑level provenance, scheduled enrichment, Cypher over Apache AGE. Agents retrieve what they need and the surrounding context, no bloat, no hope‑and‑pray.
We run a Palantir model for workflows. The platform sits at the centre. 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. Same shape as Palantir’s, different domain. We’re at the start. 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. We move at this pace as a default.
The role
You’ll be our second junior engineer, working directly with the CTO and a small senior engineering team on the parts of the platform that decide whether the context layer delivers:
- Ingestion and connectors: SharePoint, Google Drive, Gmail, DealCloud, and the next source on the list. Some clients hand us 400k+ files at 150+ GB and expect it to Just Work. You’ll build the pipes and harden them.
- Knowledge graph internals: primary entity consolidation, edge criteria, enrichment agents that decide when to call web search vs. internal tools, and the Cypher/Apache AGE query layer underneath.
- Agent infrastructure: LangGraph pipelines, Pydantic‑typed state, prompt caching, the eval harness that keeps it honest.
- Product surface: The Next.js app where the graph, the reports, and the chat all meet the user.
You won’t be boxed into a single layer. 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.
Our stack
- Frontend: Next.js (App Router), TypeScript, Tailwind, shadcn, deployed on Vercel
- Backend: FastAPI, Python 3.12, Pydantic everywhere
- Agents: LangGraph, Claude via Vertex AI, Gemini for cheap/fast tagging work
- Data: Postgres + Apache AGE (graph), moving toward AlloyDB Omni on GKE where it fits
- Infra: GCP – GKE, Cloud Run, Cloud SQL, Vertex AI, KMS
- Tooling: pnpm, Husky commit hooks (ruff, eslint, prettier, typecheck, test build, and an agentic check that fixes what it finds), Linear for issues, Claude Code as a daily driver
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.
Beyond the role
The community. 60x sits at the centre of Unicorn Mafia, the invite‑only builder community we run. ~1,100 members, invite only and tightening, maths olympiad winners, hackathon elite and the best founders across London, San Francisco, New York and Europe. Day one, you’re in. Events free, sponsored international trips paid for. 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. Engineers from outside 60x show up because the room is worth being in. Most companies fly people in to get access to a room like this. Yours is at your desk.
The lifestyle
We look after our team and we socialise together. Private healthcare and a wider wellness benefits package. Sauna and cold plunge sessions, recovery and team time built in. Team socials, dinners, off‑sites, and the natural overflow from UM events. An environment for people who want to do the best work of their lives without burning out.
What We’re Looking For
- 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
- Comfort in an agent‑native workflow. You write the spec, the agent writes the first draft, you review it. If you’ve never done this, prove you’ll pick it up fast.
- Interest in knowledge graphs, retrieval systems, agent orchestration, or enterprise data engineering
- The taste and temperament to push back on a bad idea, including ours
You do not need
- A CS degree
- Years of experience
- To already know LangGraph, Apache AGE, or any specific framework in our stack
AI Engineer, 60x in London employer: 60x
At 60x, we pride ourselves on being an exceptional employer that fosters a vibrant work culture and prioritises employee well-being. As an AI Engineer, you'll have the unique opportunity to collaborate closely with our CTO and a talented senior engineering team, while also engaging with a dynamic community of innovators through our exclusive Unicorn Mafia network. We offer comprehensive wellness benefits, including private healthcare and team-building activities, ensuring you can thrive both personally and professionally in a fast-paced environment that values quality and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer, 60x in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at a company you admire. You never know when a casual chat could lead to a job opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects, especially those related to AI and data engineering. Make sure it’s easy to navigate and showcases your best work. This is your chance to impress potential employers beyond just your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, it’s not just about getting the right answer; it’s about demonstrating your thought process.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight how your skills align with what we’re building at 60x. Show us why you’re the perfect fit for our team!
We think you need these skills to ace AI Engineer, 60x in London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for AI and engineering shine through. We want to see that you’re genuinely excited about the work we do at 60x and how you can contribute to our mission.
Tailor Your Application:Make sure to customise your application to highlight your relevant skills and experiences. Mention specific projects or technologies that align with what we’re building, like knowledge graphs or Python backend work.
Be Clear and Concise:Keep your writing straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Show us you can 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
Familiarise yourself with the technologies mentioned in the job description, especially Python, TypeScript, and FastAPI. Be ready to discuss how you've used similar tools in your projects or coursework, and think about how you would approach building ingestion pipelines or working with knowledge graphs.
✨Showcase Your Projects
Prepare to talk about something you've shipped, whether it's a project, dissertation, or open-source contribution. Highlight the architectural choices you made and be honest about what you’d do differently next time. This shows your ability to reflect and learn from experiences.
✨Embrace the Agent-Native Workflow
Demonstrate your comfort with agent-native workflows. If you haven't worked in this way before, explain how you would adapt quickly. Discuss any experience you have with collaborative coding or using AI tools in your development process.
✨Be Ready to Push Back
The role requires a certain level of assertiveness. Prepare to discuss a time when you disagreed with an idea or approach, including your own. This shows that you can think critically and contribute to discussions, which is vital in a fast-paced environment like 60x.
