AI Engineer (Contract)
Houseful
Job Overview
Location
Remote
Employment Type
Contract
Work Arrangement
Remote
Sector
Information Technology & Software
Experience Level
Mid-level (3-5 years)
Application Deadline
July 17, 2026
About the Company
Job Description
We are seeking a skilled AI Engineer on a 6-month initial contract basis to join Houseful, a leading B2B SaaS platform for the UK property industry. This role requires you to be based in the UK and will focus on building and deploying AI-enabled automations across our core systems.
As an AI Engineer, you will be instrumental in integrating AI to enhance internal productivity, reduce operational costs, and improve customer experience. You will work closely with the Principal Engineer and Head of AI Operations to deliver on an internal AI roadmap, automating administrative workflows and building AI-enabled processes within key platforms like Salesforce, Zendesk, and HubSpot.
Your responsibilities will include developing and maintaining automation pipelines, creating API and webhook integrations, and designing RAG pipelines. You will also ensure sound engineering standards, secure data handling, and clear documentation for handover to internal teams. Success in the first six months will be measured by the deployment of priority automation workflows, measurable reductions in manual effort, and reliable system integrations.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key Responsibilities
- Build and maintain automation pipelines using n8n, Zapier/Make, and direct LLM API integrations (OpenAI/Anthropic)
- Develop API and webhook integrations across Salesforce, Zendesk, HubSpot, Zuora, and Thrive LMS
- Implement workflows such as ticket summarization, tagging, routing, and AI triage
- Design and implement RAG pipelines and vector database integrations over internal knowledge
- Develop, test, and version prompts; evaluate and improve output quality
- Build event-triggered automations and AI-enabled reporting on Mission Control
- Apply sound engineering standards: error handling, logging, and monitoring of automations in production
- Ensure GDPR-compliant, secure handling of customer and company data
- Document solutions clearly and hand over to internal teams for ongoing operation
Qualifications
- Proven delivery of LLM-based automation in production environments
- Strong experience with automation platforms (n8n, Make, or Zapier)
- Proficiency in Python and SQL
- Strong API and webhook integration capability
- Experience working with OpenAI/Anthropic APIs and prompt engineering
- Experience building RAG pipelines and working with vector databases
- Experience automating CRM (Salesforce) and support (Zendesk) environments preferred
- Experience operating in B2B SaaS or similar fast-moving environments
- Track record of delivering as a contractor: scoping, building, and handing over cleanly
- Comfortable working with non-technical stakeholders to refine requirements
- Delivery-focused and pragmatic
- High agency and accountability
- Structured, with strong attention to reliability and security
- Comfortable working in ambiguity
- Clear communicator with technical and non-technical audiences
How to Apply
To apply for this role, click the Apply button on this page and follow the instructions.
Join Our Communities
The UK property technology sector is experiencing rapid AI integration to enhance operational efficiency and customer experience. This role focuses on building and deploying AI-enabled automations within core systems. Key technical areas include API integrations, LLM prompt engineering, RAG pipelines, and vector database management. The impact of this position is significant, directly contributing to business ROI by reducing operational costs and increasing capacity through AI-driven solutions, signaling a critical role in the company's growth trajectory.
Posted Date
July 3, 2026
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