AI-First Software Engineer
First seen by Alion on Sep 23, 2026.
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 to help shape this next chapter. This role is ideally on a hybrid basis, in London.
The Role
As an AI-First Engineer, you'll operate at the intersection of strong software engineering fundamentals and modern AI-assisted development. You'll use state-of-the-art AI coding tools - 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 keep quality, security, and compliance high.
As part of our AI-First transformation, we're adopting Spec-Driven Development (SDD) across our engineering teams. Instead of jumping from user stories into code, engineers write structured specifications that become 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 - you'll help scale the approach across the organisation.
This is not a traditional ticket-driven engineering role. You'll work in a small, high-impact squad (4-5 people), treat AI as a powerful collaborator rather than a replacement for engineering responsibility, and 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.
What You'll Do
Use AI coding tools to generate and iterate on production code - then critically review that output before it goes near a pull request.
Work spec-first: collaborate with Product Managers and Tech Leads to refine structured specifications that drive both human and AI implementation.
Own complex integration points, edge cases, and performance considerations that AI may miss.
Maintain and grow test coverage - unit, integration, and end-to-end - as a natural part of your workflow.
Contribute to architectural discussions and long-term technical decisions across the squad.
Monitor production behaviour of AI-accelerated systems and proactively address stability, observability, and performance.
Help evolve CluePoints' AI-First engineering practices - prompting patterns, review checklists, spec templates, and guardrails other squads can adopt.
What You'll Bring
5+ years professional software engineering experience shipping production systems.
Python proficiency (essential); TypeScript is a strong plus - comfort with both is ideal.
Hands-on, daily use of AI coding assistants in real delivery workflows.
Demonstrated ability to critically evaluate AI-generated code - hallucinations, security risks, architectural drift, edge cases.
Experience with Spec-Driven Development frameworks such as OpenSpec, SpecKit, BMAD, or Superpowers.
Strong testing discipline: unit, integration, and end-to-end testing as part of your normal workflow.
Solid understanding of API design (REST), relational databases (MySQL or equivalent), and at least one NoSQL store.
Comfort in a regulated or compliance-sensitive environment, or willingness to learn GxP expectations quickly.
Nice to have
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.
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, MongoDB
Cloud: Microsoft Azure
AI Tooling: Claude Code, GitHub Copilot, and other AI coding assistants integrated into daily workflows
You don't need deep experience in every part of this stack, but you should be comfortable working across on the back-end in Python and confident ramping quickly on unfamiliar technologies - with AI as an accelerator, not a crutch.
What We Offer - Poland
Remote working from PL
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.