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    • AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.
    • Proficiency in Python and SQL.
    • This is a role for someone who wants to build ML systems that genuinely change how people buy and sell homes — not maintain models that gather dust.
    • Lead, mentor, and performance-manage a team of analysts — helping them grow their technical and communication skills and creating an environment where they do…
    • As one of the more experienced members of the team, you will also share best practice with colleagues and help raise the bar for customer success across Alto.
    • Define and own Alto’s data science roadmap, prioritising use cases based on measurable ROI and commercial impact.
    • Hybrid — 2 days/week in London HQ.
    • Logistics: Hybrid - 2 days per week in our London HQ.
    • Alto Software Group is a B2B SaaS company that powers more than half of all UK housing transactions each…
    • You'll report to the Head of Platform & Data Engineering, partner closely with our Technical Product Manager, and lead around three engineers day-to-day —…
    • You'll help us scale the data lakehouse that powers analytics and AI across the business, build the infrastructure behind new data commercialisation products,…
    • The successful candidate will be responsible for maintaining high standards of cleanliness and hygiene within private homes and commercial properties.
    • I'm looking for someone who enjoys tidying and organising to help reset two rooms in our family home.
    • Putting toys and belongings back in their proper places.
    • MUST specialise in deep cleaning and end of tenancy cleaning.
    • This role involves carrying out high-standard, highly detailed cleans in residential properties,…
    • Assist in the maintenance of the Gallery at all levels:
    • Vacuuming floors, tidying up rooms, gathering trash and restocking pantries.
    • As a Housekeeping Assistant at a Barchester care home, you'll help to create a warm and homely environment that enables us to meet each resident's unique needs.
    • We're looking for a qualified Group Accountant to join ZPG on a 15 month fixed term contract.
    • Sitting within the group finance function, you'll act as the…

Job Post Details

AI Engineer (Contract) - job post

Houseful
London SE1 2LHRemote
Fixed term contract

Job details

Job type

  • Fixed term contract

Full job description

6 months Initial Contract - Must work from the UK

Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year.

We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.

This is a hands-on delivery role responsible for building the automations and AI integrations that embed AI into how we operate.

The Role

We are hiring a contract AI Engineer to build, deploy and maintain AI-enabled automations across our core systems stack. Working with the Principal Engineer and the Head of AI Operations, you will take prioritised automation opportunities from design through to production.

You will deliver against an internal AI roadmap spanning Customer Operations, Marketing, Finance, Education and Training to:

  • Automate high-volume, manual administrative workflows
  • Build AI-enabled workflows in Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS
  • Turn the Mission Control data platform into an engine for event-triggered automation
  • Reduce operational overhead and improve reporting speed and accuracy
Core ResponsibilitiesAutomation Build & Integration
  • 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 summarisation, tagging, routing and AI triage
AI Engineering
  • 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
Quality, Security & Handover
  • 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
What Success Looks Like (First 6 Months)
  • Priority automation workflows live, stable and monitored in production
  • Measurable reduction in manual effort in targeted workflows
  • Reliable integrations across the core systems stack
  • Clear documentation enabling internal teams to operate and extend what you build
Required ExperienceTechnical
  • 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
Delivery
  • 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
Personal Attributes
  • 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
Why This Role Matters

AI will be a structural margin lever for ASG. The automations you build will directly reduce operational cost, increase capacity without incremental headcount, and embed AI as core operational infrastructure rather than experimentation.

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