Founding Engineer: Build Self-Healing Agent Systems

Clera; San Francisco (CA); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Clera is building an agentic integration platform for real-world operations. Join the engineering team and own the agent layer end to end, building production systems that help agents understand undocumented environments, recover from failures, and improve through accumulated knowledge.

You will create self-learning loops, self-healing workflows, and set patterns for measuring and improving agents across the platform while collaborating with leadership and growing the team responsible for

Qualifications

• Two to nine years of professional software engineering experience with recent agentic work.
• Completed or in-progress engineering/CS/quant degree from a top technical university.
• Experience as startup founder or early employee at funded/pre-seed ventures.
• Hands-on with context engineering and agent evaluation for production systems.
• Shipping production systems with TypeScript, PostgreSQL, and LLMs.

Responsibilities

• Build context and self-learning systems to improve agent performance with new integrations.
• Develop self-healing workflows that detect failures, diagnose causes, and recover autonomously.
• Own the agent harness and meta-harness to enable rapid agent development.
• Set engineering patterns for building, measuring, and improving agents across the platform.
• Collaborate with leadership, experiment rapidly, and help grow the agentic systems team.

Skills

Agentic software

Context engineering

Agent evaluation

Production systems

TypeScript

PostgreSQL

LLMs

Education

Engineering/CS/quantitative degree from a top-250 university

Degree from top-50 university preferred

Tools

Agent harnesses

Agent tracing

Evaluations

Production failure detection

Job description

Clera is building an agentic integration platform for real-world operations. Join the engineering team and own the agent layer end to end, building production systems that help agents understand undocumented environments, recover from failures, and improve through accumulated knowledge.

You will create self-learning loops, self-healing workflows, and set patterns for measuring and improving agents across the platform while collaborating with leadership and growing the team responsible for