Job description

Staff+ Software Engineer, Backend and Infra Haize Labs takes AI-based applications from proof-of-concept to production. We eliminate risk and improve the reliability of LLM-based applications by haizing them – i.e. rigorously, proactively, and continuously fuzz-testing them. We are looking for a talented and experienced backend + infrastructure engineer to help build out our AI reliability platform. You will play a foundational role in designing and driving forward the core technology that puts our cutting-edge AI research in the hands of customers, empowering them to build AI applications that are trustworthy, robust, and ready for production. This is an opportunity to directly influence how AI applications are tested, verified, and deployed by everyone from frontier AI labs to massive enterprises across a wide range of industries. In this role, you will: 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 Develop and uphold processes and best practices that reinforce the operational excellence of our team You may be a good fit if you: Have 7+ years of industry experience, including 3+ years leading large initiatives as an engineer or manager Have a proven track record of designing, building, and scaling complex distributed systems that solve critical business problems Have strong proficiency in one or more backend programming languages (e.g. Python, Go, Rust) Are deeply knowledgeable about modern cloud infrastructure, including technologies like Kubernetes and Terraform, and platforms like AWS, GCP, and Azure Have a strong understanding of relational and NoSQL databases (we use Postgres, MongoDB, and Redis, among others) Take a pragmatic, outcomes-focused approach to solving ambiguous technical and business problems Are passionate about building products and platforms that feel magical to use Strong candidates may also: Have experience doing applied AI/ML Have strong familiarity with security and privacy best practices Have built and/or operated large scale, GPU-based model training and serving infrastructure Have experience working on multi-datacenter, cloud-agnostic systems Logistics Education requirement: Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Location policy: 6 days a week, in person, in NYC. US visa sponsorship: If you are exceptional, we will sponsor. Compensation $200,000 – $300,000 annual salary + equity + benefits About us At Haize, we're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready. Since our company's inception in 2024, we've amassed amazing customers including OpenAI, Anthropic, AI21, and more. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous “robustification” of AI applications. And we’re backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, and Replit, as well as C-suite execs from Google, Stripe, Databricks, Robinhood, and more. Our core team is exceptionally well-suited to accomplish our mission. We’ve turned down opportunities like Stanford PhD programs and Y Combinator in order to pursue this goal, and we have experience doing AI research and engineering at places like Harvard, MIT, Citadel, Datadog, and McKinsey QuantumBlack (to name a few). We can only serve our mission with an incredibly talented and hard-working team, and we hope that includes you. Come to Haize to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.

Requirements

Must-haves

Staff+ Software Engineer, Backend and Infra
This is an opportunity to directly influence how AI applications are tested, verified, and deployed by everyone from frontier AI labs to massive enterprises across a wide range of industries.
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
Develop and uphold processes and best practices that reinforce the operational excellence of our team
You may be a good fit if you:
Have 7+ years of industry experience, including 3+ years leading large initiatives as an engineer or manager
Have a proven track record of designing, building, and scaling complex distributed systems that solve critical business problems
Have strong proficiency in one or more backend programming languages (e.g. Python, Go, Rust)
Are deeply knowledgeable about modern cloud infrastructure, including technologies like Kubernetes and Terraform, and platforms like AWS, GCP, and Azure
Have a strong understanding of relational and NoSQL databases (we use Postgres, MongoDB, and Redis, among others)
Take a pragmatic, outcomes-focused approach to solving ambiguous technical and business problems
Are passionate about building products and platforms that feel magical to use
Have experience doing applied AI/ML
Have strong familiarity with security and privacy best practices
Have built and/or operated large scale, GPU-based model training and serving infrastructure
Have experience working on multi-datacenter, cloud-agnostic systems
Education requirement: Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Location policy: 6 days a week, in person, in NYC.
US visa sponsorship: If you are exceptional, we will sponsor.

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Keywords to mirror

aillmpythongorustkubernetesawsgcpazurepostgresml

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