AI Integration Engineer

About us 

Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster.

We’re looking for talented people who want their work to matter. With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials.

About the role

As we scale beyond Series B, we are building the operational and engineering backbone required to deliver at pace, without compromising on scientific rigour or regulatory compliance. We are therefore looking for an outstanding AI Integration Engineer to implement scalable and automated processes to improve our efficiency.

Qureight runs on a small number of critical internal systems – Box, Zendesk, JIRA, HiBob, and Pipedrive. These are currently configured and connected largely by hand. The Integration and Automation Engineer will own Qureight’s connective tissue: automating, integrating, and extending these platforms so that the Clinical Operations, Quality & Regulatory Affairs, People, and Finance teams spend less time on manual processes and can focus on their core work.

As several of these systems hold or track GxP-relevant records, i.e. trial imaging in Box and validated change history in JIRA, this is not "citizen developer" tinkering. Every automation that touches a regulated system is built, reviewed, and validated to the same standard as product code. The role sits at the intersection of business enablement and engineering discipline and is expected to look after both.

What you will do  

The AI Integration Engineer will provide outstanding automation and integration capabilities across Qureight, including:  

• Box automation and AI. Design and build Box automations; use Box AI for metadata extraction, classification, and manipulation.
• Customer support tooling. Configure Zendesk AI features (knowledge base, FAQs, agentic/assisted chat) to help the Clinical Operations team deliver faster, more consistent customer support.
• Cross-system integration. Build and maintain integrations across Box, JIRA, HiBob and other platforms, including MCP-based and Claude Code-driven automations to remove manual handoffs between teams.
• GxP-aware delivery. Ensure every automation touching a validated or GxP-relevant system is version-controlled, peer-reviewed, documented, and validated in line with Qureight's ISMS and Management of Software Policy before it goes live.
• Requirements and prioritisation. Work directly with all internal departments to identify high-value automation opportunities, size them, and prioritise against risk and effort.
• Operate and maintain. Own the automations end-to-end: monitoring, error handling, documentation, and change management; no "build and abandon".

To thrive in this role, you'll need: 

• Scripting / development ability (e.g. Python, TypeScript) sufficient to build and maintain integrations against REST APIs and webhooks.
• Practical experience configuring and integrating SaaS platforms (Box, Zendesk, JIRA, or close equivalents) beyond surface-level admin.
• Comfort with version control (Git) and a real change-managed delivery workflow, not ad-hoc scripts on a laptop.
• Ability to work with AI/LLM tooling (Claude Code preferred) as a practical means to an end, including prompt design and evaluating output quality.
• Clear written communication - can document what was built and why, for both technical and non-technical audiences.

Even better if

• Prior experience in a regulated environment (GxP, ISO 27001, medical devices, or clinical trials).
• Familiarity with computerised system validation (CSV) concepts.
• Exposure to MCP, agentic automation patterns, or workflow tooling.
• Understanding of information security fundamentals (access control, data classification, least privilege).

What can you expect from us

• A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, cycle-to-work scheme, and a contributory pension scheme 
• Equity, so that our team can share in the long-term success of Qureight
• 28 days’ holiday allowance, 25 days’ annual leave and 3 additional company days between Christmas and New Year, plus bank holidays and enhanced family leave
• A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations.

How to apply 

Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.   

We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. We advertised this role on 11th September 2026. 

If you have any queries, please contact careers@qureight.com.

Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. 

Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply – you may be a great fit, even if you don’t meet every qualification. We’d love to hear from you. 

If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.