Description :

Excellent written and spoken English is non-negotiable. You will lead technical conversations with UK leadership and enterprise clients, manage a distributed team, and write detailed technical specifications.

About the Role :

You will own end-to-end product delivery for a UK PropTech platform transforming how construction handovers are managed.

This is a hands-on technical leadership role. You will :

- Run the product roadmap and lead a small team (1 senior backend engineer, 1 mid-level full stack engineer)

- Personally ship front-end features using agentic AI coding workflows

- Design AI-native architecture and build MCP servers for Claude integrations

- Work directly with the CEO to turn business strategy into technical reality

You must already be AI-native using Claude Code, Cursor, or similar agents as your primary development methodology. We are not looking to teach you the basics.

What You'll Do :

Lead AI-first development :

- Design agentic coding workflows : agent development, agent testing, human review cycles

- Build and optimise MCP (Model Context Protocol) servers connecting the platform to Claude

- Write specifications that both AI agents and human engineers can execute against

- Continuously improve prompt engineering and agent output quality

Own product and team :

- Drive the roadmap and sprint planning across strategic AI initiatives (Hugo chatbot, document intelligence, defect triage)

- Lead daily standups across Australia (engineers), UK (CEO), and India (you)

- Manage the DevOps board and maintain high delivery velocity

- Collaborate with team members who are shareholders with deep platform knowledge

Ship code :

- Frontend : Angular, TypeScript, CSS

- Backend : .NET on Azure

- AI/ML : Azure Document Intelligence, Azure ML, image analysis

Engage enterprise clients :

- Join technical conversations with enterprise clients and integration partners (Salesforce, Procore)

- Translate technical capabilities for non-technical stakeholders

What You Must Have :

- 5+ years in AI/ML with hands-on LLM implementation (production, not side projects)

- Enterprise-grade Azure experience Document Intelligence, Azure ML, image analysis (must be production enterprise, not personal projects)

- Currently using AI agents as your primary coding workflow (demonstrable)

- Strong full stack skills : Angular, TypeScript, CSS, .NET

- Production experience shipping document intelligence or ML features

- Track record managing technical teams and product delivery in fast-paced environments

- Ability to write detailed technical specs and architecture decisions

- Self-directed ownership mindset you take full accountability without hand-holding

Nice to Have :

- MCP server development experience (highly valued cutting-edge)

- Claude / Anthropic tooling and agentic coding frameworks

- PropTech, construction tech, or similar regulated industry background

- Previous Technical Product Manager or Solutions Architect role with hands-on coding

- Experience working with distributed teams across multiple time zones

- Native iOS/Android app deployment (wrapped web apps)

Setup You'll Need :

- Laptop / desktop with 16GB+ RAM

- Stable, high-speed internet

- Quiet, professional workspace

- Smartphone for communication apps