Staff Engineer, AI-Assisted Engineering Practices
Hims & Hers
$190,000–$240,000
Jun 29, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role focused on applying AI techniques — such as code generation, automated testing, and intelligent refactoring — to improve engineering productivity across product and platform teams. The work spans hands-on prototyping, integrating AI-driven workflows into existing systems, and packaging successful approaches into reusable SDKs and platform services. Suits an experienced engineer comfortable with technical leadership, mentoring, and bridging early-stage experimentation with production-ready delivery.
Staff level · 8+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
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 2,500 people nationally plausibly meet what this posting asks for (software developers). range 1,500–3,750
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
The backend/fullstack language requirement lists Node.js, Kotlin, Java, Python, and Go as interchangeable options ('one or more of the following'); similarly React, TypeScript, and Next.js are listed as frontend alternatives. These are captured as a single skill with alternatives rather than separate hard gates.
Mobile skills (React Native, Swift, Kotlin/Android) are listed alongside backend and frontend as an 'or' option within the same requirement block, but mobile is clearly the least central to the role's AI-for-engineering-productivity focus; marked preferred to reflect that the role is primarily backend/fullstack.
LangChain is explicitly named under the requirements section alongside 'MCP, or similar pipelines'; MCP is a less-established framework so LangChain is used as the canonical name. The broader AI-assisted development capability (code generation, test authoring, refactoring tooling) is a hard gate but names no single tool beyond LangChain — captured via the LLMs skill.
No compensation figures are stated in the posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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