At a Glance
- Tasks: Join us to build smarter buildings using AI and innovative tech.
- Company: Exciting UCL spinout focused on transforming the built environment.
- Benefits: Competitive salary, equity, flexible remote work, and dedicated learning budget.
- Other info: Dynamic early-stage environment with opportunities for growth and travel.
- Why this job: Make a real impact in the AI and smart building space.
- Qualifications: 4+ years in software engineering with full-stack development skills.
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 AI for Smart Buildings in London employer: Tacit Analytics Ltd.
At Tacit, we pride ourselves on being an innovative employer at the forefront of AI and smart building technology. Our flexible, remote-first work culture fosters collaboration and creativity, while our commitment to employee growth is reflected in 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 built environment.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Product Engineer AI for Smart Buildings in London
✨Networking in the Right Circles
Dive into communities focused on building systems and supply engineering. Join LinkedIn groups, attend industry-specific trade shows, and don’t shy away from local meetups. These are golden opportunities to connect with industry professionals who could help you land that full-time role at places like Tacit Analytics Ltd..
✨Showcase Your Projects
If you've worked on any projects—big or small—related to building systems, make sure to showcase them! Creating a portfolio or a detailed case study on your approach can do wonders. It’s all about showing prospective employers, like Tacit Analytics Ltd., that you’ve got hands-on experience and a solid understanding of the field.
✨Leverage University Resources
Are you still connected with your university? Tap into their career services! Many universities have relationships with firms in the building systems sector and can provide leads on exclusive job openings. This could be your ticket to landing the full-time job you want.
✨Get Involved in Professional Bodies
Consider joining professional organisations related to building systems and supply engineering. These often have job boards, career development events, and networking opportunities. Engaging with these can significantly increase your visibility to firms like Tacit Analytics Ltd. and may help you secure that full-time position sooner!
We think you need these skills to ace Founding Product Engineer AI for Smart Buildings in London
Some tips for your application 🫡
Showcase Your Engineering Skills:In the building systems supply engineering field, make sure to highlight your technical skills in your CV. Include any relevant software certifications or engineering tools you’re proficient with. Demonstrating your ability to use industry-specific technologies can really set you apart!
Quantify Your Achievements:Employers love to see how you've made an impact in your previous roles. When detailing your work experience, try to include quantifiable achievements—like how you improved a system’s efficiency by a percentage or managed a project that saved your last company X amount. This shows you're results-driven and could help us at Tacit Analytics Ltd..
Tailor Your Cover Letter:Don’t just reuse the same old cover letter! Personalise it for the Founding Product Engineer AI for Smart Buildings role at Tacit Analytics Ltd.. Talk about your passion for building systems and why this position excites you. We want to see your personality shine through and how you envision contributing to our team.
Include Relevant Projects:If you’ve worked on specific projects related to building systems supply engineering, don’t forget to mention them! Include any reports or case studies that showcase your problem-solving abilities and project management skills. This portfolio of work can really illustrate your expertise to us.
How to prepare for a job interview at Tacit Analytics Ltd.
✨Know Your Technical Stuff
For a role in building systems supply engineering, make sure you're clued up about the latest technologies and tools in the field. Brush up on your knowledge of HVAC systems, plumbing, electrical layouts, and any relevant software used in modelling or design.
✨Showcase Real Projects
Since this is a full-time position, the interviewers will be keen to see your relevant experience. Bring along a portfolio that highlights the projects you've worked on, focusing on your role and the impact you had. Be ready to discuss the challenges faced and how you overcame them.
✨Prepare for Scenario-Based Questions
Expect some scenario-based questions during your interview. They may ask how you would approach a specific design challenge or troubleshoot an existing system. Think about examples from your past work where you successfully tackled problems, and be ready to articulate your thought process.
✨Understand the Industry Landscape
It's crucial to have a good grasp of the current trends affecting building systems, like sustainable engineering practices or smart technology integration. Familiarise yourself with recent advancements and be prepared to discuss how they might influence your work at Tacit Analytics Ltd..
