Job Details

Product Engineer Building Infrastructure for Autonomous AI Systems

We're hiring a Product Engineer to help build the infrastructure layer that teams rely on to understand and improve the behavior of autonomous AI agents.

As organizations deploy AI agents into real-world workflows, traditional observability tools fall short. They capture metrics and errors—but not how an agent actually behaves.

This platform introduces Agent Behavior Monitoring (ABM)

infrastructure that surfaces behavioral anomalies in production systems, including instruction drift, context retrieval failures, and reliability breakdowns across complex workflows.

Teams use it to move from reactive debugging to systematically improving agent behavior at scale

The Role

We're looking for engineers who care deeply about product quality, user experience, and fast iteration

You'll work directly with design and customers to build features end-to-end and help define how developers interact with AI observability tools.

This is a high ownership role where engineers influence both product direction and technical implementation

What You'll Do

• Build end-to-end product features across frontend, backend, and database layers
• Collaborate closely with design to create thoughtful, high-quality user experiences
• Work directly with customers to understand workflows and gather product feedback
• Rapidly prototype and test new ideas for improving agent observability
• Participate in product and design reviews to maintain a high bar for product craft
• Help shape how developers debug and improve autonomous AI systems

What We're Looking For

• 2+ years of experience building production software products
• Strong full-stack engineering ability
• A passion for building well-crafted developer tools or technical products
• Comfort working in fast-moving startup environments
• Curiosity about AI systems, agents, and emerging developer infrastructure

Why This Role

• Work on foundational infrastructure for AI agents
• Ship products used by teams deploying real autonomous systems
• Collaborate closely with design and users
• Operate in a high-ownership engineering culture

If you're excited about building tools that make AI systems more reliable and understandable, we'd love to talk.