Open Source Engineer (AI)

TL;DR

Open Source Engineer (AI): Building and optimizing core Python SDKs for the hirify.global AI observability platform with an accent on API craftsmanship, performance, and developer experience. Focus on designing resilient libraries, maintaining production-grade open-source code, and enabling seamless observability integration for developers across diverse AI ecosystems.

Location: Remote within the US or hybrid in New York City or Seattle.

Company

hirify.global is an AI observability platform that connects evals and monitoring to help teams understand and improve how AI behaves in production.

What you will do

• Develop elegant, resilient Python SDKs for LLM evaluation and AI observability.
• Own the full SDK lifecycle from design and implementation to documentation and community support.
• Integrate SDKs with major AI providers like OpenAI, Anthropic, and Gemini.
• Build automation tools to improve testing, profiling, and release workflows.
• Collaborate with product and engineering teams to ensure a polished developer experience.
• Engage with the user community to resolve issues and drive adoption.

Requirements

• Deep expertise in Python and building reliable libraries.
• Strong experience with CI/CD, testing frameworks, and packaging systems.
• Proven ability to design clean APIs and handle complex technical constraints.
• Experience maintaining or contributing to production-grade open-source projects.
• Understanding of how to extend existing frameworks to inject observability without breaking workflows.
• US-based work authorization.

Nice to have

• Contributions to popular open-source projects.
• Experience with tracing tools like OpenTelemetry.
• Background in the LLM or AI ecosystem.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance.
• Competitive salary combined with equity packages.
• Flexible time-off policy.
• Daily office meals and snacks for hybrid staff.
• AI learning stipend for ongoing development.