Remote Customer Engineer — Scale AI Agent Platforms

Mastra; San Francisco (CA); Remote; USD 140,000 - 230,000; Full time

Benefits offered by this job

Fully remote

Global team distribution

Job summary

Mastra is seeking a Customer Engineer who operates at the intersection of production reality and core platform design. You will blend forward deployment and core engineering, working directly with teams deploying agents in production and translating learnings into Mastra framework improvements.

You’ll move between hands-on customer collaboration and foundational platform work, turning real-world problems into durable primitives that benefit multiple accounts.

Qualifications

• Built and operated AI systems in production.
• Able to move from implementation details to system-level thinking.
• Able to see patterns where others see one-off issues.
• Care deeply about developer ergonomics.
• Prefer ownership over narrow scope.

Responsibilities

• Collaborate directly with customer teams building real agent systems.
• Design and implement agents alongside their engineers.
• Improve reliability, eval strategies, monitoring, and scaling approaches.
• Help teams move from prototype to durable systems.
• Train and upskill customers to become Mastra experts.
• Share patterns and best practices across accounts.
• Turn recurring customer challenges into OSS improvements.
• Fix reliability and performance issues.
• Ship new primitives and refine existing ones.
• Raise the quality bar across the codebase.
• Contribute to roadmap direction through production insight.

Skills

Production AI

System thinking

Pattern recognition

Developer ergonomics

Ownership

Job description

Mastra is seeking a Customer Engineer who operates at the intersection of production reality and core platform design. You will blend forward deployment and core engineering, working directly with teams deploying agents in production and translating learnings into Mastra framework improvements.

You’ll move between hands-on customer collaboration and foundational platform work, turning real-world problems into durable primitives that benefit multiple accounts.