Key skills
PythonTypeScriptSoftware DevelopmentOpen Source DevelopmentAI/LLM EcosystemInstrumentation LibrariesSDK Client DevelopmentPlatform APIsAI/ML ObservabilityAI Evaluation SystemsCommunity-oriented MindsetAnalytical SkillsAIMLLLMOpenAIAnthropicLlamaIndexOpenTelemetryGitHub
About this role
Arize AI is a leading AI & Agent Engineering observability and evaluation platform that empowers AI engineers to optimize their AI systems. The role involves building and maintaining instrumentation libraries for LLM and agent frameworks, collaborating with the developer community, and driving improvements in AI observability standards.
Responsibilities:
- Build new LLM and instrumentation libraries for emerging LLM providers and agent frameworks
- Maintain and enhance existing instrumentation across Python and TypeScript ecosystems, and others (OpenAI, Anthropic, LlamaIndex, CrewAI and many more)
- Drive improvements to semantic conventions and OpenTelemetry standards that define AI observability
- Collaborate with the global developer community through GitHub, Slack, and conferences, as well as Arize PMs and solution architects
- Take complex problems from ideation to completion with full ownership and accountability
Requirements:
- 3-5+ years of software development experience shipping production code
- Expert-level proficiency in both Python and TypeScript
- Community-oriented mindset with genuine passion for collaborative open-source development
- Deep interest in AI/LLM ecosystem with desire to stay current on emerging technologies
- Strong analytical skills to distill requirements from diverse sources and stakeholders
- Experience building SDK clients, instrumentation libraries, or platform APIs
- Hands-on experience with AI/ML observability or evaluation systems