Staff Software Engineer | AI Real Estate SaaS | Up to £140K | UK & EU Remote

Requirements:8+ years of backend software engineering experienceStrong expertise in Node.js/TypeScript (preferred) or PythonProven ability to own complex systems and operate effectively in ambiguous environmentsStrong product and business awareness, with the ability to connect technical decisions to outcomesComfortable taking end-to-end ownership across a domainExperience using AI/LLMs as part of day-to-day development workflowsExcellent communication and stakeholder management skills Tech Stack:TypeScript, Node.jsReact (for frontend touchpoints)PostgreSQL, SQL, Drizzle, tRPCExtensive use of AI/LLMs and agent-based systems Compensation & Location:£90K - £140K base salaryCompetitive equity packageFully remote within Europe (aligned to UK working hours) Visa sponsorship is not available. Why Join?Large market opportunity in a traditionally underserved sectorHigh ownership and influence in a fast-scaling, well-capitalised companyCollaborative team with strong startup experienceOpportunity to build products used daily by a broad range of users If you are a senior backend engineer who enjoys working in complex domains, building automation, and applying AI to real-world problems, we would like to hear from you.

HUG are excited to be partnering with a high-growth, well-funded, AI-first SaaS company operating in the property and asset management space. Backed by leading investors, the business is focused on modernising a large, traditionally fragmented market through a combination of strategic acquisitions and advanced automation. About the RoleWe are hiring multiple Staff Software Engineers to join core product areas.This is a high-impact, high-ownership role where you will operate across business, product, architecture, and hands-on engineering. You will:Automate complex, real-world workflowsBuild scalable, reliable systems that improve operational efficiency and user experienceCollaborate closely with product and business stakeholdersDrive architectural decisions and deliver projects end-to-endLeverage AI and LLMs to accelerate development and design intelligent systems