AI Engineer (Staff/Principal)

Role

Staff/Principal AI Engineer reporting to the CTO. Architect and implement scalable generative AI technology that solves enterprise customers’ document-heavy workflows (leases, planning documents, market reports). Own the full lifecycle of core product capabilities from initial customer discovery through architecture, implementation, deployment, and customer adoption.

Key Responsibilities

• Own end-to-end delivery of complex features from concept to production and customer adoption.
• Design and implement advanced data extraction systems for processing property leases at scale.
• Build workflow automation for analyzing planning documents and drafting advice.
• Develop multi-step agentic content generation for market research and reporting.
• Implement security and data privacy by design.
• Collaborate with product and commercial teams to translate customer needs into technical solutions.
• Mentor other engineers and help establish engineering best practices.
• Stay current with relevant research and technologies and apply them where appropriate.
• Use AI coding assistance tools to accelerate development workflows.

Requirements

• Extensive software engineering and architecture experience, with a track record of shipping customer-facing features on critical paths.
• Strong Python skills.
• Experience building and maintaining high-quality APIs and integrations.
• Proficiency with AI coding assistance tools (Claude Code, Cursor, GitHub Copilot).
• Experience working in high-growth startups or fast-paced tech environments and owning end-to-end product development.
• Strong communication skills for explaining complex concepts to diverse audiences.
• Demonstrated ability to make technical decisions balancing immediate user needs with long-term architecture.
• Intellectual curiosity, resilience, and a product-minded engineering approach.

Nice to Have

• Experience in real estate, law, or finance.
• Background with robust software testing and deployment practices.
• Experience with component-based system design and microservices.
• Contributions to open-source projects or broader technical communities.

Benefits

• £100,000–160,000 per annum salary + meaningful equity (standard vesting schedule).
• Enhanced pension contributions (5%).
• Unlimited annual leave.
• £100 monthly well-being budget.
• Tailored support for exceptional challenges (examples: gender-affirming care, IVF, ADHD/autism diagnosis support, private specialist scans).
• Enhanced parental leave: 14 weeks full pay for primary caregiver, 6 weeks full pay for secondary caregiver.
• Electric car scheme (salary sacrifice).
• £1,000 annual training budget.
• Option for a paid one-week trial for available candidates.

Interview Process

• Submit CV and answers to screening questions.
• Call with CTO for initial fit.
• Live task and competency interview.
• In-person culture-fit interview with cross-company stakeholders including founders; paid one-week trial alternative may be offered.