At a Glance
- Tasks: Join our team to build innovative AI solutions and enhance enterprise workflows.
- Company: 60x, a cutting-edge AI company at the forefront of technology.
- Benefits: Private healthcare, wellness perks, team socials, and international trips.
- Other info: Join a vibrant community of top talent and enjoy a collaborative work environment.
- Why this job: Be part of a dynamic team solving real-world AI challenges with impactful projects.
- Qualifications: Strong skills in Python or JavaScript, and 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 employer: 60x
At 60x, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. As an AI Engineer, you'll have the unique opportunity to work closely with our CTO and a talented senior engineering team, contributing to cutting-edge projects while enjoying comprehensive wellness benefits, private healthcare, and engaging community events. Our commitment to employee growth is evident through hands-on experience across multiple layers of our platform, ensuring you develop your skills in a supportive environment that values quality and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer, 60x
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and tech scene. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects, especially those related to Python, TypeScript, or knowledge graphs. Make it easy for potential employers to see what you can do and how you think.
✨Tip Number 3
Don’t be shy about reaching out directly! If you see a role at 60x that excites you, drop us a message. A personal touch can make all the difference and shows your genuine interest in being part of our team.
✨Tip Number 4
Prepare for interviews by brushing up on your technical skills and understanding our stack. Be ready to discuss your past projects and how they relate to the role. Confidence and preparation go hand in hand!
We think you need these skills to ace AI Engineer, 60x
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 from our stack that you've worked with, and explain how they relate to the role of AI Engineer.
Be Clear and Concise:Keep your writing straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your qualifications and what you bring to the table.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team.
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 studies, and think about how you would approach building ingestion pipelines or working with knowledge graphs.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, whether it's a hackathon win or an open-source contribution. Highlight your architectural choices and be honest about what you’d do differently next time. This shows your ability to reflect and improve, which is key for the role.
✨Embrace the Agent-Native Workflow
Understand the concept of agent-native workflows and be prepared to discuss how you would integrate AI coding agents into your work. If you haven't done this before, express your eagerness to learn and adapt quickly. They want someone who can collaborate effectively with AI tools.
✨Cultural Fit Matters
Get a feel for the company culture and be ready to discuss how you align with their values. They’re looking for someone who can push back on ideas constructively, so think about how you would approach giving feedback in a team setting. Show that you’re not just a techie but also a team player.
