Senior Software Engineer - AI First

Job 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) frameworkTreat AI as a powerful collaborator — not a replacement for engineering responsibilityFocus on integration, edge cases, system-level thinking, and production robustnessYour output will be amplified by AI — but your judgment will define its quality. Job Requirements 5+ years of professional software engineering experience shipping production systemsProficiencyin Python (essesntial) and/or TypeScript (experience with both is ideal)Hands-on, daily use of AI coding assistants in real delivery workflowsDemonstrated ability to critically evaluate AI-generated code:identifyinghallucinations, security risks, architectural drift, and edge casesSolid understanding of API design (REST), relational databases (MySQL or equivalent), and at least one NoSQL storeStrong testing discipline: unit, integration, and end-to-end testing as part of your normal workflowExperience with Spec-Driven Development frameworks such asOpenSpec,SpecKit, BMAD, or SuperpowersComfort working in a regulated or compliance-sensitive environment, or willingness to learnGxPexpectations quickly Strong Advantage Experience with Angular or a modern frontend frameworkExperience building structured AI-assisted workflows (prompt pipelines, agent orchestration, automated review systems)Microsoft Azure cloud experienceBackground in life sciences, healthcare, or other regulated industries Bonus Contributions to open-source AI tooling or developer productivity projectsExperience with CI/CD pipeline design and DevOps practicesFamiliarity with clinical trial data, CDISC standards, or RBQM concepts Our Technology Stack Languages: Python Frontend: Angular/TypescriptData: MySQL, Parquet, Databricksand MongoDBCloud: Microsoft AzureAI 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. Job Responsibilities AI-Assisted Implementation Use AI coding tools to generate and iterate on implementation codeRapidlyprototypemultiple technical approaches with AIassistanceEnsure AI-generated output meetsCluePoints’ engineering standards before submission Spec-Driven Development Work from approved specifications as thesingle sourceof truthCollaborate with Product Managers and Tech Leads to refine technical scopeImplement features according to reviewed and approved specsMaintain traceability between requirements, implementation, and tests Architecture, Integration & Production Ownership Handle complex integration points and system-level concernsAddress edge cases and performance considerations AI may missContribute to architectural discussions and long-term technical decisionsMonitor productionbehaviorof AI-accelerated systems and proactively address stability, observability, and performance issues Quality & Compliance Review AI-generated code before raising pull requestsIncrease andmaintaintest coverage through automated testingEnsure 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 productivityContribute to evolvingCluePoints’ AI-First engineering practices Job Benefits 🇵🇱 What We Offer – Poland Comprehensive Health Insurance (medical, dental, and online consultations, 100% employee coverage)Life Insurance through UNUMCafeteria Plan with flexible monthly credits for wellness, entertainment, and travelMultiSport Card, co-financed 50/50Employee Capital Plans (PPK) with 4% employer contributionA hub-based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture. Equal Opportunities & Data Privacy Statement 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.”