remote
Senior AI Engineer - Agentic Systems
AI Engineer
Lead the design and deployment of AI safety APIs, orchestrating intelligent agents across distributed systems using Python and advanced machine learning techniques.
About the role
Key Responsibilities
- Architect and implement robust AI safety APIs that ensure reliable agent behavior in production environments.
- Design and maintain agent orchestration pipelines, coordinating multiple AI agents across distributed infrastructure.
- Collaborate with cross‑functional teams to integrate AI services into existing product stacks, focusing on scalability and fault tolerance.
- Develop and optimize machine learning models, applying best practices for data handling, model validation, and continuous improvement.
- Monitor system performance, troubleshoot issues, and implement automated monitoring and alerting for AI workloads.
Requirements
- 5+ years of experience in AI/ML engineering, with a strong background in Python and distributed systems.
- Proven expertise in designing and deploying AI safety mechanisms and API integrations.
- Hands‑on experience with agent orchestration frameworks and cloud‑native deployment (e.g., Kubernetes, Docker).
- Deep understanding of machine learning pipelines, model versioning, and performance optimization.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learning