Applied AI Engineer

🚀 Applied AI Engineer | Python, Node.js & Agentic AI | Scaled PropTech Platform 🌍 Remote | 📄 Permanent Contract We are looking for a hands-on Applied AI Engineer to join a fast-growing UK property-management platform automating lettings and operational workflows at enterprise scale. Having raised over $260M and currently managing a £350M+ annual rent roll, the platform is expanding its core engineering group to establish and scale production-grade agentic systems. In this role, you will have significant ownership and architectural influence across high-impact domains such as Tenant Find, Property Management, and Finance. What You’ll Be Doing: Taking end-to-end architectural ownership of production-grade LLM and agentic systems powering core operations. Designing, building, and deploying multi-step autonomous agents, sub-agent orchestration flows, and dynamic tool-calling interfaces. Implementing robust evaluation frameworks, regression test suites, and continuous feedback loops to benchmark model outputs. Driving engineering solutions to systematically improve latency, system reliability, token cost, and hallucination rates across all AI workflows. Architecting reusable agent templates and structured output pipelines to support multi-service integration as platform acquisitions scale. Collaborating closely with cross-functional product squads (2–3 engineers per team) to translate complex business workflows into scalable AI software. What We’re Looking For: 3–5+ years of software engineering experience, ideally within an AI-native startup or a high-velocity technology environment. Strong backend software engineering fundamentals with production experience shipping software at scale. Consultant mindset: high technical ownership, ability to evaluate real-world trade-offs, and clear communication across technical and product stakeholders. Practical understanding of production engineering hurdles: prompt evaluation, task decomposition, latency optimization, and guardrails. Proven track record of delivering reliable systems beyond proof-of-concept or purely academic research models. Must-Haves: Strong backend proficiency in Python and/or TypeScript / Node.js, backed by PostgreSQL. Hands-on commercial experience building, orchestrating, and shipping agentic/LLM systems into live production. Deep expertise in agent orchestration patterns, tool calling, sub-agent delegation, and structured outputs. Demonstrated ability to analyze and solve production challenges around evaluation, reliability, cost, and hallucinations. Bachelor’s or Master’s degree in Computer Science or a related technical discipline. Location & Working Setup: 100% Remote working model. UK Hours overlap needed: Standard UK business hours. If you are an engineer who thrives on architectural challenges, understands the power of AI-enabled workflows, and is ready to take true E2E ownership of a mission-critical platform, apply directly or reach out with your CV to discuss the role in detail! … mais