nineDots.io

applied ai engineer

In short

This senior Applied AI Engineer role is at a proptech company building AI into residential lettings and property management, growing via acquisitions. The job involves designing agentic AI workflows, building reusable AI infrastructure (memory, tool calling, evaluation frameworks), and partnering with product/operational teams to automate processes. It demands strong software engineering experience taking systems to production, hands-on shipping of AI/agentic systems, and comfort applying Python-based AI experience in TypeScript. Fully remote, hiring across the UK, Ireland, and European time zones.

About the Company
The property technology company builds AI into residential lettings and property management. It grows through acquisitions and develops AI workflows for tenant sourcing and property management.
Responsibilities
•Build reusable components for agent memory, context management, tool calling, and feedback loops
•Design workflows coordinating AI agents, conventional software, and human input
•Develop evaluation frameworks to assess performance before deployment
•Make agent behaviour easier to trace, debug, and improve
•Investigate failures and handle operational edge cases
•Turn successful standalone workflows into reusable infrastructure
•Build development workflows where coding agents can explore repositories, implement changes, review code, and run checks
•Help establish architectural patterns and engineering standards as the platform grows
•Work with product and operational teams to understand processes, identify automation opportunities, and turn them into dependable software
•Determine where LLMs add value, where conventional code is more dependable, and where human involvement should remain
Requirements
•Strong software engineering experience, including independently taking complex systems from idea to production
•Hands-on experience shipping AI or agentic systems used in a real business
•Practical understanding of tool use, structured outputs, context management, and orchestration
•Experience addressing reliability, latency, evaluation, and observability
•Regular use of coding agents and a considered approach to checking their work
•Strong architectural judgement and ability to connect technical decisions to business needs
•Comfortable taking ownership when requirements are still developing
•Clear communication skills and fluency in English
•Comfortable applying Python-based AI experience in TypeScript
Conditions
•Fully remote; hiring across the UK, Ireland, and European time zones
•Early core member of the engineering team, with significant input into architecture, tooling, and engineering standards

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