Senior AI Safety Engineer

Job Summary

Experienced professionals will find a full-time remote opportunity as a Senior AI Safety Engineer, responsible for leading the design and implementation of safety-critical GenAI systems, developing AI safety evaluation pipelines, and mentoring junior engineers while ensuring compliance with regulatory and ethical standards.

Key responsibilities

• Lead the design and implementation of Responsible AI frameworks and safety guardrails for GenAI systems
• Define and own AI safety evaluation pipelines, including adversarial testing and automated safety benchmarks
• Develop explainability tooling to support model audits and regulatory reviews while partnering with cross-functional teams

Required qualifications

• Experience in machine learning, data science, or software engineering focused on AI safety and model governance
• Strong Python skills and proficiency with ML frameworks such as TensorFlow or PyTorch
• Hands-on MLOps experience, including model monitoring and reproducible deployment practices
• Knowledge of AI safety techniques, including red-teaming and fairness metrics
• Understanding of AI governance and regulatory expectations in financial services