Build and maintain product features and supporting backend components, including services, integrations, and internal workflows.
Write production-ready code and lightweight prototypes to validate ideas quickly.
Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function.
Support proof-of-concepts and experiments by setting up test cases, reviewing results, and improving areas where quality is weak.
Document systems and workflows so others can run, maintain, and extend what you build.
Translate business problems into clear AI tasks and implement end-to-end solutions with guidance from technical leads.
Prepare and maintain data and test cases used to measure output quality.
Apply common AI application patterns such as prompting, using internal knowledge sources, and calling external tools or APIs.
Measure quality using repeatable evaluation methods, including automated checks and structured human review when required.
Contribute to production readiness through versioning, monitoring, basic performance and cost awareness, and usage tracking.
Follow privacy, security, and compliance requirements in collaboration with Legal and Security teams.
Balance exploration with delivery—test ideas quickly, then productionize what works.
Ensure quality goals are met, followed by continuous improvement in accuracy, cost, and performance.
Own systems end-to-end, including build, release, and operational reliability.

4+ years of overall software engineering experience, with at least 2+ years building and shipping production systems in product teams.
4+ years of hands-on technical experience writing production-quality code.
Strong software engineering fundamentals, including system design and scalable architecture.
Proficiency in Python and/or TypeScript (or similar), building APIs, services, and data pipelines.
Experience with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, automated testing, and observability.
An experimentation mindset — able to define metrics, build evaluation frameworks, and iterate quickly in ambiguous problem spaces.
Strong interest in learning and applying GenAI technologies in practical, production environments.

Market Leading Compensation Package.
Wellness Programs to Support Health and Wellbeing.
Working with the latest tools and technologies in a fast-paced environment.
Remote Work Flexibility.
Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
Global Connected Culture: Hubs in Romania, UK, US, Canada.
Dynamic Work Culture: Thrive in our innovative and multicultural environment.
Grow with Us: Continuous development opportunities.

Senior Gen AI Developer

Key skills