Senior Backend Engineer - AI PropTech

Urban Digital Recruitment — United Kingdom · Posted ~22 hours ago

Senior Hybrid

Skills

Backend engineering Software architecture API development AI/LLM integration Workflow automation TypeScript Greenfield development LLMs AI Backend services APIs

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Summary ✨ AI‑Generated

A senior backend engineering role at a greenfield AI-focused technology venture. You will own and develop core applications from the ground up, working hands-on in a small engineering team. The work combines backend architecture, business-critical services, workflow automation, and benchmarking of large language models, with a strong emphasis on building AI capabilities properly rather than adding them as an afterthought.

Highlights

Senior engineering opportunity to build an AI-driven product from the ground up, with substantial ownership and hands-on development in small engineering teams. The role focuses on meaningful AI applications, workflow automation, and core business systems, with strong scope for technical impact and greenfield architecture.

Description

Backend Engineer - AI PropTech Startup London, Hybrid (weekly office attendance preferred, min. 1-2 days) Salary: To £100,000 Level: Senior We're working with an PropTech start-up to find two Senior Backend Engineers to join their team as they build out a genuinely green-field AI product from scratch. They're launching two parallel AI workstreams: Augmentation - AI assisting operations teams on complex, high-risk tasks (finance, invoicing)Automation - fully automating high-volume, low-risk repetitive workflows The core mechanic is benchmarking LLMs to perform automated steps in workflows. For engineers frustrated by bolt-on AI at their current employer, this is the opportunity to build it properly from day one. The Role The successful candidate will own and develop the core applications powering the business - primarily CRM and finance services - for both internal and external users. They'll work in one of two small engineering teams (3-4 engineers), hands-on from day one, shipping fast using agentic development workflows. This isn't a role for someone used to delegating in a large org. The right person will own services end-to-end, in a fast-growth environment where priorities shift and velocity matters. You'll work in one of two small engineering teams (3–4 engineers), hands-on from day one, shipping fast using agentic development workflows. This is not a role for someone used to delegating in a large org. You'll own services end-to-end, in a fast-growth environment where priorities shift and velocity matters. What They're Looking For Fast-growth startup / scale-up experience. Candidates should have worked at a Stealth Start-up/Series A/B startup through a period of rapid scaling, and be comfortable with ambiguity, shifting priorities, and shipping under pressure without over-engineering. Early or founding engineer experience, ownership of significant surface area, and demonstrable velocity are all a strong fit.Strong, current production Python with FastAPI - this is a hard requirement. Experience with API design, async Python, and SQL/ORM is a plus.Genuine, current use of agentic development workflows. Candidates should actively use AI coding agents (e.g. Claude Code, Cursor) as a core part of how they work, and think about optimising their own and their team's development workflow - tooling, automation, spec-driven development.Ownership of quality. Writes and maintains their own tests, and is comfortable in a "you build it, you run it" culture. What They're NOT Looking For No FastAPI / weak PythonUnable to travel to the office 1-2 days a weekPurely frontend focus with no backend service ownershipNo evidence of scale-up or agentic development experienceUltra-high performers from AI-first rocketships (salary expectations typically exceed range) Ideal Background Strong candidates typically come from lean, fast-scaling product companies with a genuine engineering culture (rather than large corporates, agencies/consultancies, or businesses without a strong tech function), bringing hands-on, current experience shipping production Python/FastAPI services alongside real agentic-AI-assisted development practice. If you're frustrated by bolt-on AI at your current employer, this is the opportunity to build it properly from day one.