Full Stack Engineer

Retelligence; Cambridge; On-site; GBP 70,000 - 90,000; Full time

Job summary

Retelligence, an early-stage AI technology startup in Cambridge, is seeking a Founding Engineer to lead the transition to a flagship SaaS platform. In this unique opportunity, you'll work directly with the leadership team, influencing both technical architecture and product roadmap. Responsibilities include scaling production, designing UI for data visualization, and establishing engineering culture. Join us at the forefront of AI technology development and play a significant role in shaping the future.

Qualifications

• Experience in transforming prototypes to secure enterprise-ready products.
• Strong knowledge in UI design and data visualization.
• Ability to collaborate on workflows and secure data pipelines.
• Familiarity with CI/CD processes and testing frameworks.

Responsibilities

• Lead the transition from prototype to SaaS environment.
• Design and build the UI for data visualization.
• Collaborate on backend architecture for sensitive data.
• Establish high operational excellence through CI/CD practices.
• Ensure compliance with international data protection standards.

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.