Full Stack Engineer

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We are representing an early-stage AI technology startup. After successfully validating their core technology with a high-performance prototype, they are looking for their first core engineering hire to lead the transition to a flagship SaaS platform.

This is a rare "Founding Engineer" opportunity to work directly with the leadership team, influencing both the technical architecture and the product roadmap from day one.

The Role

  • Production Scaling: Bridge the gap between prototype and a secure, enterprise-ready SaaS environment.
  • Interface Design: Build and own the UI end-to-end, focusing on data visualization and making AI-generated insights legible and actionable.
  • Backend Architecture: Collaborate on agentic workflows and design secure pipelines for sensitive data.
  • Engineering Culture: Establish CI/CD, testing frameworks, and monitoring to maintain high operational excellence.
  • Compliance: Build with security at the forefront to meet international data protection and AI governance standards.

#J-18808-Ljbffr”, “datePosted”: “2026-05-05”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Retelligence”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__423714753__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=126” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Cambridge” } } }
Company: Retelligence
Apply for the Full Stack Engineer
Location: Cambridge
Job Description:

We are representing an early-stage AI technology startup. After successfully validating their core technology with a high-performance prototype, they are looking for their first core engineering hire to lead the transition to a flagship SaaS platform.

This is a rare “Founding Engineer” opportunity to work directly with the leadership team, influencing both the technical architecture and the product roadmap from day one.

The Role

  • Production Scaling: Bridge the gap between prototype and a secure, enterprise-ready SaaS environment.
  • Interface Design: Build and own the UI end-to-end, focusing on data visualization and making AI-generated insights legible and actionable.
  • Backend Architecture: Collaborate on agentic workflows and design secure pipelines for sensitive data.
  • Engineering Culture: Establish CI/CD, testing frameworks, and monitoring to maintain high operational excellence.
  • Compliance: Build with security at the forefront to meet international data protection and AI governance standards.

#J-18808-Ljbffr…

Posted: May 5th, 2026