Staff+ Software Engineer, Backend and Infra

Core responsibilities:

• Design and build scalable infrastructure and systems to orchestrate tens of thousands of LLM calls per second, powering functionality like model evaluations, red team attacks, runtime guardrails, and more
• Collaborate closely with the research team and deploy innovative new models to build industry-leading AI reliability tooling
• Interface directly with customers to understand and address their pain points, design intuitive new user workflows that streamline their journey, and guide them on the evaluation methodology Haize has pioneered
• Act as a technical leader across the organization, mentoring top talent and helping set technical direction and vision for the company

This role directly influences how AI applications are tested, verified, and deployed by everyone from frontier AI labs to massive enterprises across a wide range of industries, helping to make AI safe, reliable, and production-ready.

Required qualifications:

• 7+ years of industry experience, including 3+ years leading large initiatives as an engineer or manager
• Proven track record of designing, building, and scaling complex distributed systems that solve critical business problems
• Strong proficiency in one or more backend programming languages (e.g. Python, Go, Rust)
• Deep knowledge about modern cloud infrastructure, including technologies like Kubernetes and Terraform, and platforms like AWS, GCP, and Azure
• Strong understanding of relational and NoSQL databases (Postgres, MongoDB, and Redis, among others)

$225,000 – $375,000 annual salary + equity + benefits. The company offers an opportunity to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.

Haize Labs takes AI-based applications from proof-of-concept to production by rigorously, proactively, and continuously fuzz-testing them to eliminate risk and improve reliability of LLM-based applications.