AI-Native Engineer
On-siteNew York City, New York, United States
Job Summary
Design, architect, and ship production systems across the stack, including distributed compute, databases, data pipelines, backend services, user-facing applications, and observability infrastructure. Build and improve multi-agent systems, agent harnesses, tool integrations, and inference infrastructure while developing benchmarks to measure scientific quality, reliability, and usefulness. Measure and improve agent quality, cost, latency, and robustness by creating feedback loops that turn evaluation results into systematic improvements. Ship new harness, interface, and enterprise capabilities and automate high-leverage internal workflows as company priorities evolve. Help define Mirror's technical architecture, engineering standards, and hiring bar as the team grows.
Required Qualifications
- Exceptional software engineering and system design skills
- A record of owning complex projects end to end
- Practical fluency in building, deploying, evaluating, and operating modern AI systems
- Strong product judgment
- Clear thinking
- Excellent written and verbal communication
- Deep curiosity
- Intellectual honesty
- Urgency
- A consistently high bar for quality
Desired Qualifications
- Relevant backgrounds may include working as a founding or early engineer
- Building production AI systems at a startup
- Developing complex systems at a larger technology company
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