CluePoints
Senior Software Engineer - AI First
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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.
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Requirements
- 5+ years of professional software engineering experience shipping production systems
- Proficiency in Python (essential) 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: identifying hallucinations, 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 as OpenSpec, SpecKit, BMAD, or Superpowers
- Comfort working in a regulated or compliance-sensitive environment, or willingness to learn GxP expectations 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, Databricks and 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
- Rapidly prototype multiple technical approaches with AI assistance
- Ensure AI-generated output meets CluePoints’ engineering standards before submission
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Spec-Driven Development
- Work from approved specifications as the single source of 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 production behavior of AI-accelerated systems and proactively address stability, observability, and performance issues
Quality & Compliance
- Review AI-generated code before raising pull requests
- Increase and maintain test coverage through automated testing
- Ensure outputs are secure, auditable, and aligned with regulatory expectations (GxP context)
- Participate in code reviews and continuous improvement of engineering standards
Continuous Improvement
- Experiment with new AI tools and workflows to increase productivity
- Contribute to evolving CluePoints’ 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.
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