Founding Agentic Engineer - Build Self-Healing AI Agents

Praxy; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Praxy is seeking a founding-level engineer to own the agent layer end-to-end, collaborating with the CTO to define how agentic systems are built, measured, and scaled with production-grade impact.

You will design context engineering, self-learning workflows, evals, and the agent harness, while growing the engineering team and establishing patterns for every agent built at the company.

Qualifications

• 2-9 years of software engineering experience and hands-on agentic software shipped recently.
• Familiarity with harness-centric agent development and eval-driven iteration.
• Strong knowledge of agent tracing and evaluation frameworks.
• Production-ready mindset: ship systems, not just prototypes.
• Proficiency in TypeScript; Experience with Effect-TS and PostgreSQL is a plus.

Responsibilities

• Design and own the agent layer end-to-end: context engineering, self-learning, evals, and harnesses.
• Build a knowledge base to improve future integrations.
• Develop self-healing workflows and autonomous recovery for agents.
• Set engineering patterns and standards for all agents.
• Grow the agentic engineering team and lead those who own these systems.
• Operate as a peer to the founding team and experiment relentlessly.

Skills

Software engineering

Agentic systems

TypeScript

Evaluation frameworks

Production deployment

Tools

Effect-TS

PostgreSQL

LLM tooling

Job description

Praxy is seeking a founding-level engineer to own the agent layer end-to-end, collaborating with the CTO to define how agentic systems are built, measured, and scaled with production-grade impact.

You will design context engineering, self-learning workflows, evals, and the agent harness, while growing the engineering team and establishing patterns for every agent built at the company.