Applied AI Engineer
Own and improve Arize AI's product documentation, building automated systems to detect drift between docs and code, and crafting docs that serve both human developers and coding agents. Core tech includes LLM-based app development, docs-as-code workflows, CI, and documentation automation.
- Compensation
- $100K–$175K / yr
- Location
- Remote (San Francisco)
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- 3+ years in technical writing, documentation engineering, developer relations, or engineering role with significant writing
- Excellent technical communication skills demonstrated by public-facing documentation, blog posts, or videos
- Up-to-date engineering skills including docs-as-code workflows, CI, and comfort working in a repo
- Working knowledge of LLM-based app development (agents, RAG, orchestration frameworks)
- Genuine interest in how agents read and use documentation and building related tooling
- Self-motivated continuous learner comfortable with startup ambiguity and rapid iteration
- Willing to attend occasional evening and weekend in-person events locally or within a few hours travel
Nice to have
- Familiarity with the evaluations and observability space
- Experience building documentation automation (link checking, snippet testing, style linting, LLM-assisted review)
- Opinions about llms.txt, documentation MCP servers, and machine-readable docs
- Highly engaged in technical communities on X, Reddit, Slack, Discord, Dev.to, etc.
- Experience running or contributing to open-source projects like Arize Phoenix
Full description
About Arize
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize unifies build, test, and run in a single workspace, so teams can ship faster with confidence.
Arize serves a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like , Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
Note: Arize is a remote-first company but certain roles often appear at in-person events. The nature of this role requires candidates to be based in the San Francisco Bay metro area, though there isn't an in-office requirement.
The Opportunity
AI is rapidly transforming the world. Whether it's developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.
The Role
We are looking for an AI Applied Engineer focused on developer growth. This team fits in developer advocacy in the product team, outside of core engineering, connecting product to the AI Engineer ecosystem. This role is ideal for people with an entrepreneurial mindset and passion to grow our developer community through code, education, content, and hack-a-thons. You will be joining a team of engineers, product and marketing with experience building the next generation of AI systems from agents to assistants to LLM applications.
What You'll Do
- Write code and build examples that our community can reference - agents & assistants in different frameworks
- Create awareness through technical content that educates AI developers – e.g. Github repos, blogs, eBooks, product documentation, workshops, demos
- Build out Claude code and Cursor skills for automating systems
- Improve the growth marketing experience
- Be the “voice of the AI engineer” across Arize’s base of users and the AI developer community at large
- Serve as a product advocate for Arize's core SaaS or OSS offerings. Distill market insights and developer feedback to inform roadmap and GTM activities