Platform Engineer

• Design, implement, and operate MLOps/LLMOps platforms and shared workflows
• Build systems for management and traceability of models, prompts, agent configurations, evaluation data, experiment results, and release information
• Partner with AI Quality Evaluation Engineers and product development teams on feedback loops, evaluation execution, regression evaluation, and release decisions
• Build and operate mechanisms to visualize and monitor LLM output quality, safety, consistency, latency, cost, and usage
• Establish testing, monitoring, alerting, and rollback mechanisms for detecting quality degradation and safety risks
• Automate AI workload development and operations using CI/CD, Infrastructure as Code, container and cloud platforms, and observability tools such as logs, metrics, and traces
• Design and implement safe, effective, and auditable agent systems for code generation, modification, and review
• Work closely with product development teams, ML engineers, and security and cloud infrastructure stakeholders
• Report to a functional leader
• Travel to Woven City several times per month

Explore AI Platform Engineer – MLOps/LLMOps at Woven Planet. Review requirements and application details.