Open Source AI Engineer, Typescript

Arize AI

Open Source AI Engineer developing LLM observability frameworks for Arize AI. Collaborating with community and experimenting with advanced AI techniques.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $185,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building LLM observability frameworks and integrating them with existing platforms, while effectively collaborating with the AI open source community. Proficient in TypeScript and experienced in developing tools that enhance LLM monitoring and debugging.

Highest-signal resume keywords

LLM ExperienceTypeScript ProficiencyOpen Source ContributionsML ObservabilityDebugging AI Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM FrameworksPrompt EngineeringAgent HarnessesIsomorphic CodeData-Heavy Dashboards

Soft Skills

CollaborationCommunity EngagementCommunication

Tools & Technologies

APIsPipelinesOpen Source Tools

Industry Keywords

AIMachine LearningObservabilityDebuggingEmbeddings

Tech Stack

Tools & technologies

Open SourceTypeScript

About the role

Key responsibilities & impact

Build LLM Observability Frameworks: Design, architect, and open-source new libraries, pipelines, and APIs that make it simpler to monitor, evaluate, and improve LLM output.
Collaborate with the Community: Partner closely with the broader AI open source ecosystem, gather feedback, review pull requests, and steer the direction of the project to address real developer needs.
Prototype and Iterate Rapidly: Experiment with state-of-the-art LLM techniques, turning research into practical developer tooling.
Improve Observability and Debugging: Integrate with our existing platform to surface deeper insights on LLM behavior—help teams quickly diagnose and fix issues such as hallucinations or bias.
Educate and Evangelize: Write blog posts, white papers, tutorials, and documentation to help developers succeed with our open source tools and grow the LLM eval community.

Requirements

What you’ll need

Hands-on LLM Experience: Familiarity with popular LLM frameworks, prompt engineering techniques, and agent harnesses.
Strong TypeScript Proficiency: You understand TypeScript and can write isomorphic code that executes seamlessly across clients, servers, and diverse edge runtimes.
Open Source Track Record: Contributions to open source projects, personal GitHub repos with interesting AI demos, or a history of active engagement in developer communities.
ML Observability & Tools: Familiarity with debugging AI applications, exploring embeddings, or building data-heavy dashboards is a plus.

Benefits

Comp & perks

medical
dental
vision
401(k) plan
unlimited paid time off
generous parental leave plan
mental and wellness support