Senior Software Engineer - AI First at CluePoints

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

08 Aug, 26

Salary

0.0

Posted On

10 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TypeScript, Spec-Driven Development, AI Coding Assistants, API Design, MySQL, NoSQL, Angular, Microsoft Azure, Unit Testing, Integration Testing, End-to-End Testing, GxP Compliance, System Architecture, Prompt Pipelines, Agent Orchestration

Industry

Software Development

Description

Company Description At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster. We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 40 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA. At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide. We’re looking for an AI-First Software Engineer Engineer to help shape this next chapter. The Role As an AI-First Engineer, you will operate at the intersection of strong software engineering fundamentals and modern AI-assisted development. You will use state-of-the-art AI coding tools (e.g., Claude Code, GitHub Copilot, Codex-style agents) to generate and iterate on production-grade code — while applying human judgment, architectural thinking, and rigorous review to ensure quality, security, and compliance. As part of our AI-First transformation, we are adopting Spec-Driven Development (SDD) across our engineering teams. Instead of moving straight from user stories into code, engineers write structured specifications that serve as the single source of truth for both human and AI-driven implementation. The spec is reviewed and approved before any code is written, and AI coding agents work within the constraints it defines. Some of our squads are already working this way, and these roles will help scale the approach across the organisation. Experience with SDD frameworks such as OpenSpec, SpecKit, BMAD, or Superpowers is required. This is not a traditional “ticket-driven” engineering role. Instead, you will: * Work in small, high-impact squads (4–5 people) * Operate within a Spec-Driven Development (SDD) framework * Treat AI as a powerful collaborator — not a replacement for engineering responsibility * Focus on integration, edge cases, system-level thinking, and production robustness * Your output will be amplified by AI — but your judgment will define its quality. * 5+ years of professional software engineering experience shipping production systems * Proficiencyin Python (essesntial) and/or TypeScript (experience with both is ideal) * Hands-on, daily use of AI coding assistants in real delivery workflows * Demonstrated ability to critically evaluate AI-generated code:identifyinghallucinations, security risks, architectural drift, and edge cases * Solid understanding of API design (REST), relational databases (MySQL or equivalent), and at least one NoSQL store * Strong testing discipline: unit, integration, and end-to-end testing as part of your normal workflow * Experience with Spec-Driven Development frameworks such asOpenSpec,SpecKit, BMAD, or Superpowers * Comfort working in a regulated or compliance-sensitive environment, or willingness to learnGxPexpectations quickly Strong Advantage * Experience with Angular or a modern frontend framework * Experience building structured AI-assisted workflows (prompt pipelines, agent orchestration, automated review systems) * Microsoft Azure cloud experience * Background in life sciences, healthcare, or other regulated industries Bonus * Contributions to open-source AI tooling or developer productivity projects * Experience with CI/CD pipeline design and DevOps practices * Familiarity with clinical trial data, CDISC standards, or RBQM concepts Our Technology Stack * Languages: Python * Frontend: Angular/Typescript * Data: MySQL, Parquet, Databricksand MongoDB * Cloud: Microsoft Azure * AI Tooling: Claude Code, GitHub Copilot, and other AI coding assistants integrated into daily workflows Note* You do not need deep experience in every part of this stack, but you should be comfortable working across backend and frontend and confident in ramping quickly on unfamiliar technologies — with AI as an accelerator, not a crutch. AI-Assisted Implementation * Use AI coding tools to generate and iterate on implementation code * Rapidlyprototypemultiple technical approaches with AIassistance * Ensure AI-generated output meetsCluePoints’ engineering standards before submission Spec-Driven Development * Work from approved specifications as thesingle sourceof truth * Collaborate with Product Managers and Tech Leads to refine technical scope * Implement features according to reviewed and approved specs * Maintain traceability between requirements, implementation, and tests Architecture, Integration & Production Ownership * Handle complex integration points and system-level concerns * Address edge cases and performance considerations AI may miss * Contribute to architectural discussions and long-term technical decisions * Monitor productionbehaviorof AI-accelerated systems and proactively address stability, observability, and performance issues Quality & Compliance * Review AI-generated code before raising pull requests * Increase andmaintaintest coverage through automated testing * Ensure outputs are secure, auditable, and aligned with regulatory expectations (GxPcontext) * Participate in code reviews and continuous improvement of engineering standards Continuous Improvement * Experiment with new AI tools and workflows to increase productivity * Contribute to evolvingCluePoints’ AI-First engineering practices 🇬🇧 What We Offer – United Kingdom * Private Medical Insurance through Vitality Health (full hospital cover, 24/7 GP, and therapy sessions) * Group Critical Illness Cover with Aviva * Life Insurance (death-in-service lump sum) * Pension Scheme with 9% employer contribution via Scottish Widows * Opportunities for professional development and sponsored certifications * A hub-based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture. Equal Opportunities & Data Protection Statement CluePoints is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. We welcome applications from all individuals regardless of age, disability, gender identity or expression, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Any personal data you share during your application will be processed in accordance with the UK GDPR and the Data Protection Act 2018 and will be used solely for recruitment purposes.

Responsibilities

The role involves using AI coding tools and Spec-Driven Development to generate production-grade code for clinical trial software. The engineer is responsible for architectural integrity, system integration, and ensuring AI-generated outputs meet security and regulatory standards.