Haize Labs needs a full-stack engineer to build an AI reliability platform that enables customers to test, verify, and deploy trustworthy AI applications, addressing the risk and reliability issues in LLM-based applications.
Requirements
- Experience building user-facing products (bonus if some of this is building AI/ML products)
- Deep knowledge of modern web technologies such as TypeScript and React
- Proficient in Python, Go, or Rust
- Experience using relational and NoSQL databases (we use Postgres, MongoDB, and Redis, among others)
- Experience building LLM-based applications, such as chatbots or agentic workflows
- Experience with Kubernetes
Responsibilities
- Own end-to-end development of new features and functionality for our AI reliability platform
- Design reusable frontend components and visualizations that clearly and intuitively convey complex concepts to users
- Collaborate closely with the research team to build industry-leading tooling for deploying safe, trustworthy AI applications
- 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
Other
- Have 4+ years of experience building user-facing products (bonus if some of this is building AI/ML products)
- Take a pragmatic, outcomes-focused approach to solving ambiguous problems
- Are obsessed with user experience and creating beautiful, easy-to-use products
- Are a generalist and feel comfortable wearing many different hats
- Have spent time working as a product designer or product manager (either formally or informally)
- 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.
