Senior Software Engineer

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 coding/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. Requirments 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 (Advantagous) Experience with Angular or a modern frontend framework Experience building structured AI‑assisted workflows (prompt pipelines, agent orchestration, automated review systems) 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 Languages: Python Frontend: Angular/TypeScript Data: MySQL, Parquet, Databricks and MongoDB 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. Comprehensive Health Insurance (medical, dental, and online consultations, 100% employee coverage) Life Insurance through UNUM Cafeteria Plan with flexible monthly credits for wellness, entertainment, and travel MultiSport Card, co‑financed 50/50 Employee Capital Plans (PPK) with 4% employer contribution A hub‑based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture. CluePoints is an equal opportunity employer committed to diversity and inclusion in the workplace. Your personal data will be processed by CluePoints for recruitment purposes in accordance with the Regulation (EU) 2016/679 (GDPR). If you wish for your data to be retained for future opportunities, please include the following statement in your CV: “I consent to the processing of my personal data by CluePoints for the purposes of future recruitment processes.” #J-18808-Ljbffr