At a Glance
- Tasks: Own the full stack, design data systems, and build client-facing features.
- Company: Exciting UCL spinout transforming building intelligence with AI.
- Benefits: Competitive salary, equity, flexible remote work, and dedicated learning budget.
- Other info: Dynamic early-stage environment with opportunities for autonomy and growth.
- Why this job: Join a pioneering team making buildings smarter and shaping the future.
- Qualifications: 4+ years in software engineering, proficient in Python or Java, and full-stack development.
The predicted salary is between 60000 - 80000 £ per year.
About Tacit
We're hiring engineers who want to work at the intersection of AI and the built environment and help make the world's buildings dramatically smarter. Tacit is a University College London (UCL) spinout turning over a decade of research into commercial reality. We extract fragmented building data (BMS feeds, BIM models, IoT sensors, maintenance logs) and integrate it into a contextual layer that enables explainable AI agents to diagnose, decide, and act. We're early-stage, well-funded, and already deploying with real clients across heritage, education, and commercial portfolios.
Here's what you'll be doing
- This is a product engineering role: you'll own the full stack, from how building data flows in to how it's stored, queried, and surfaced to users and AI agents. You'll make real architectural decisions and work directly with the founders.
- Design and build the core data ingestion and retrieval systems that handle BMS telemetry, BIM models, IoT streams, and metadata, using Python, Java, Go (Django, Spring, EdgeX frameworks).
- Build the features clients interact with daily across React, TypeScript, and our backend.
- Own the knowledge graph infrastructure (RDF triple stores such as GraphDB or Fuseki, SPARQL endpoints, SHACL validation) and ensure it performs at portfolio scale.
- Build and expose the Universal Building API (GraphQL/REST) that powers our 3D twin, AI agents, and third-party integrations.
You need these qualifications
- You have 4+ years of software engineering experience.
- You've built and operated systems in production: APIs, databases, task queues, caching, deployments.
- Proficient in Python or Java (Django or Spring), PostgreSQL, GraphQL.
- Comfortable with full-stack development with React, TypeScript, TanStack, Tailwind.
- You've designed and operated data-intensive systems and understand architectural concepts like schema design, migrations, query performance, indexing, caching.
- Experience with containerisation and deployment tooling such as Docker, Kubernetes, and Terraform.
- Ability to operate with high autonomy in an early-stage environment.
- You are comfortable making decisions with incomplete information and owning the outcomes.
It would be nice if
- You've worked with knowledge graphs, RDF, SPARQL, or graph databases (Neo4j, Ontotext GraphDB, Fuseki).
- You've built APIs with GraphQL (Strawberry, Ariadne, or similar) and/or worked with semantic web technologies (OWL, SHACL).
- You have experience with actor-based concurrency frameworks (Apache Pekko, Akka) or event-driven architectures.
- You've worked in the built environment, PropTech, or industrial IoT.
What we offer
- Competitive salary (adjusted by location) plus equity in the business.
- Pension contribution.
- Flexible, remote-first working. We get together in London and Athens regularly, so expect around 10-20% travel.
- Dedicated AI-focused learning and development budget.
Founding Product Engineer (Full-stack) in London employer: Tacit Analytics Ltd.
At Tacit, we pride ourselves on being an innovative employer at the forefront of AI and the built environment. Our flexible, remote-first work culture fosters collaboration and creativity, while our commitment to employee growth is evident through our dedicated AI-focused learning and development budget. Join us in London or Athens, where you'll have the opportunity to make impactful architectural decisions and contribute to meaningful projects that enhance the intelligence of buildings worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Product Engineer (Full-stack) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Tacit Analytics Ltd. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Tacit Analytics Ltd..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Tacit Analytics Ltd..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Tacit Analytics Ltd. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Founding Product Engineer (Full-stack) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Tacit Analytics Ltd..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tacit Analytics Ltd. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Tacit Analytics Ltd.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Tacit Analytics Ltd. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
