Staff Software Engineer, AI at well-funded AI infrastructure startup

You will lead the development of autonomous AI agents designed to automate complex SRE and production operations. This role involves building robust reasoning engines, evaluation frameworks, and self-improving systems. You will bridge the gap between high-scale infrastructure and machine learning to solve non-deterministic engineering challenges at scale for global technology companies.

Well-funded AI infrastructure startup

• Design and implement sophisticated agent evaluation frameworks to measure and improve reasoning performance and system reliability.
• Build autonomous agents capable of executing complex, multi-step tasks across distributed infrastructure environments including Kubernetes and Kafka.
• Debug agent behavior by tracing reasoning paths and tool-calling logic to resolve non-deterministic failures in production.

• Deep experience building and operating high-scale production systems with a strong foundation in ML fundamentals and evaluation metrics.
• Proven track record of building at least one autonomous agent end-to-end and a preference for using AI-augmented workflows.
• Expert-level proficiency in Python and experience with systems languages like Rust, Go, or JVM-based languages for scalable backend development.

• Work at the cutting edge of autonomous agents, moving beyond simple chatbots to systems that remediate production issues independently.
• Join an elite team of AI and infrastructure veterans backed by top-tier venture capital firms and prominent Silicon Valley angels.
• Influence the foundational architecture of a product already deployed at high-scale technology companies in fintech and autonomous vehicle sectors.