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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 a vibrant community of innovators.
- Other info: Engage in hackathons, rooftop parties, and exclusive networking events with industry leaders.
- Why this job: Make a real impact in AI while collaborating with top talent in a creative environment.
- Qualifications: Strong skills in Python, JavaScript, or TypeScript; passion for AI and data engineering.
The predicted salary is between 60000 - 80000 £ 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
- FastAPI, Python 3.12, Pydantic everywhere
- 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
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.
Technisch engineer. in London employer: 60x
Contact Detail:
60x Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technisch engineer. in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even those rooftop parties we throw. You never know who might be looking for a talented technical engineer just like you!
✨Tip Number 2
Show off your skills! If you've got a project or two under your belt, make sure to discuss them during interviews. Walk us through your architectural choices and what you learned along the way. We love seeing passion and expertise in action!
✨Tip Number 3
Be curious and ask questions! When you're in an interview, don't just sit back and answer questions. Engage with us about our tech stack, like Python or TypeScript, and share your thoughts on how you could contribute. It shows you're genuinely interested!
✨Tip Number 4
Apply through our website! It's the best way to get noticed. We keep an eye on applications that come directly from our site, so make sure you hit that apply button and let us see what you've got!
We think you need these skills to ace Technisch engineer. in London
Some tips for your application 🫡
Show Your Passion for Tech: When you're writing your application, let your enthusiasm for technology shine through! Talk about your experiences with Python, JavaScript, or TypeScript, and share any projects you've worked on that relate to knowledge graphs or data engineering. We love seeing candidates who are genuinely excited about what we do!
Be Specific About Your Experience: Don't just list your skills; give us the juicy details! Describe specific projects or contributions you've made, whether it's a hackathon win or an open-source contribution. We want to know what you did, how you did it, and what you learned along the way. This helps us see how you'd fit into our team.
Tailor Your Application: Make sure to customise your application for the role of Technisch engineer. Highlight your relevant skills and experiences that align with our tech stack and the challenges we face. A tailored application shows us that you’ve done your homework and are genuinely interested in joining our team.
Apply Through Our Website: We encourage you to apply directly through our website! It’s the best way to ensure your application gets into the right hands. Plus, it gives you a chance to explore more about us and what we’re building. We can’t wait to see what you bring to the table!
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, especially Python, TypeScript, and Next.js. Brush up on your knowledge of FastAPI and Postgres too, as these will likely come up during technical discussions.
✨Showcase Your Projects
Be ready to discuss any projects you've worked on that relate to knowledge graphs or enterprise data engineering. Whether it’s a hackathon win or an open-source contribution, walk them through your architectural choices and what you learned from the experience.
✨Understand the Company’s Vision
Familiarise yourself with the company’s products and their approach to AI and data management. Being able to articulate how your skills align with their goals will show that you’re genuinely interested and invested in their mission.
✨Prepare for Technical Challenges
Expect to face some coding challenges or technical questions during the interview. Practice coding problems related to the tech stack and be prepared to explain your thought process clearly. This will demonstrate your problem-solving skills and coding proficiency.