Product Engineer, Agents & Harnesses

Highlights

• Build and deploy agents that use Engram in real customer environments.
• Solve last-mile deployment problems across data, code, and systems.
• Turn successful deployments into reusable playbooks for wider distribution.

What they offer

• Competitive cash compensation
• Startup equity

Ideal candidate

A high-ownership engineer who thrives in ambiguity and loves taking agents from prototype to production alongside customers and researchers.

Requirements

• Bachelor's degree or equivalent practical experience in computer science, engineering, machine learning, or related field
• Experience building and deploying LLM applications or agents, including context management, tool use, and evaluation
• Strong production coding skills building APIs, data integrations, and reliable backend systems
• Comfort debugging unfamiliar codebases and tracing failures across data, models, and application code
• Track record of owning problems from discovery through implementation, deployment, and validation with users
• Clear communication with customers and researchers, translating ambiguous problems into actionable solutions
• Comfort with ambiguity and high ownership at an early-stage company, moving quickly while building to last