Senior Software Engineer - AI First
TypeFull-time job
LocationPoland
Posted2 hours ago
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 anAI-First Software Engineer Engineerto 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.
Responsibilities
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
Requirements
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.
Benefits
🇵🇱 What We Offer – Poland
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.
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.”Originally posted on Himalayas
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 anAI-First Software Engineer Engineerto 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.
Responsibilities
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
Requirements
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.
Benefits
🇵🇱 What We Offer – Poland
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.
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.”Originally posted on Himalayas
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