Clera
Founding Agentic Engineer
About this role
Join this early-stage agentic platform as a founding engineer to architect and own the agent layer end-to-end. You'll build production systems that integrate with gig economy workflows, design self-healing autonomous systems, and establish patterns and standards for how agents are built across the company.
What you'll do
- Own the full agent layer including context engineering, self-learning systems, evals, and agent harness architecture
- Build a compounding knowledge base that lets new integrations benefit from accumulated learnings across systems
- Design and ship self-healing workflows that autonomously detect, diagnose, and recover from production failures
- Create and maintain the meta-harness enabling rapid agent creation, evaluation, and evolution
- Establish patterns, standards, and best practices for how all agents at the company are built and measured
- Mentor and eventually lead the team building agentic systems as the company grows
What they're looking for
- Agentic software development with production experience in the last year
- TypeScript and LLM integration
- Agent evaluation frameworks and tracing in production
- Context engineering and self-learning system design
- Autonomous failure detection and self-healing workflow implementation
- Harness architecture and eval-driven iteration
- CS fundamentals with degree from well-regarded university
- Startup experience or founding mentality
Benefits
- Founding-level ownership and equity upside
- Direct collaboration with CTO on frontier agentic technology
- Work on high-impact systems with real-world consequences
- Leadership and team-building opportunities
- O-1 visa sponsorship available for qualified candidates
- On-site presence in San Francisco with relocation support
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Walk us through a production agentic system you built in the last year—what was the architecture, and what challenges did you solve?
- Describe your approach to building reusable agent harnesses. How do you think about eval-driven iteration and structured context engineering?