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!