Software Engineer- Early Careers at Abridge
San Francisco, CA
$157,000–$184,000
Jul 12, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
An early-career engineering role focused on building and iterating on LLM-powered systems for clinical documentation — including retrieval pipelines, agentic workflows, and evaluation frameworks. The work spans backend and frontend contributions, with close collaboration across ML, infrastructure, product, and clinical teams. Best suited to candidates with some hands-on generative AI experience who are eager to grow quickly in a production environment.
Junior level · New York-Newark-Jersey City, NY-NJ-PA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
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 1,000 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (software developers). range 760–1,300
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.
What the occupation pays Median $170,499 (middle half $133,523–$210,499).
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 role is onsite 5 days a week in either the NYC (SoHo) or SF (Mission District) office — two distinct metros. NYC is listed first and is the more common primary location for such postings, but candidates in SF are equally eligible. The CBSA reflects NYC as the primary metro.
No specific degree is hard-required — the posting explicitly accepts 'equivalent experience (projects, bootcamp, open source)' in lieu of a CS degree.
Hands-on GenAI experience (LLM API integration, RAG pipeline, agents) is framed as a firm requirement under 'What You'll Bring' and is the primary technical gate. The specific orchestration tools (LangChain, LlamaIndex) appear in the responsibilities section as examples of open-source tools to prototype with, so they are treated as preferred rather than hard gates.
No compensation figures are disclosed in the posting.
The alt SOC (15-2051 Data Scientists) reflects the meaningful ML/AI evaluation and modeling work described, though the primary framing is software engineering — building production systems, backend/frontend contributions, and shipping code.
Read the full posting
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