Open Source AI Engineer (Typescript) at Arize AI
$185,000–$200,000from the description
Jul 29, 2026
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Jul 29, 2026
What this job asks for AI summary
An open-source-focused software engineering role on Arize AI's OSS team, centered on designing and shipping libraries, pipelines, and APIs for LLM observability and evaluation. The engineer will prototype new evaluation frameworks, engage with the developer community through code reviews and feedback, and produce educational content such as tutorials and documentation. The role suits a hands-on builder with strong TypeScript skills and genuine experience working with LLMs and open-source ecosystems.
Senior level · Remote · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 44,200 people nationally plausibly meet what this posting asks for (software developers). range 33,100–57,500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role title is 'Open Source AI Engineer' with no explicit seniority level in the title; however, the scope (lead role, driving major initiatives, shaping frameworks) supports a Senior classification.
TypeScript is listed under 'Desired Skills & Experience' but is called out with notably firm language ('Strong TypeScript Proficiency', 'You understand TypeScript and can write isomorphic code') compared to other items in that section, which read more as soft preferences — treated as a hard gate accordingly.
LLM frameworks and agent harnesses are mentioned together under 'Hands-on LLM Experience'; no specific named framework (e.g. LangChain, LlamaIndex) is called out, so the skill is captured generically as 'LLMs'.
ML observability tooling and embeddings appear under the same 'Desired Skills' section but are explicitly flagged as 'a plus', making them preferred.
The alt SOC (15-2051 Data Scientists) reflects the evaluation-metrics and empirical-results emphasis, but the primary day-to-day work is building and shipping open-source developer tooling, which aligns more closely with 15-1252 Software Developers.
Compensation is stated as an estimated annual range of $185,000–$200,000 plus equity; equity is not quantified.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): open source development.
Read the full posting
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