Lead Engineer, AI Quality
Job Summary
Leading the AI Quality engineering team, the full-time Lead Engineer, AI Quality will build evaluation frameworks and observability tooling to ensure the effectiveness of AI systems, while working remotely and managing a growing team.
Key responsibilities
- Build and own evaluation infrastructure, including CI/CD pipelines and datasets for AI agents
- Diagnose quality breakdowns in the agent pipeline and develop prototypes to address issues
- Lead and grow the AI Quality engineering team while remaining hands-on in coding tasks
Required qualifications
- 7+ years of experience in building and shipping production software, particularly with LLM-powered agents
- Proficiency in Ruby on Rails and familiarity with Python for data evaluation tasks
- Experience in creating evaluation or observability infrastructure for ML/AI systems
- Knowledge of dataset design, annotation workflows, or labeling pipelines for ML/AI evaluation
- Strong alignment with company values and proficiency in English at CEFR Level C2 / ILR Level 5
Complete Job Description
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