San Francisco, CA

Salary
Posted
Jul 21, 2026
Location
San Francisco, CA
Last confirmed open
Jul 22, 2026

What this job asks for AI summary

A senior individual-contributor engineering role focused on deploying and improving LLM-based AI agents for insurance industry clients. The work spans designing agent workflows, prompts, evaluations, and integrations, then distilling customer-specific solutions into reusable patterns. The role is both hands-on and customer-facing, suited to an experienced backend engineer with production LLM or agentic systems experience who is comfortable owning complex deployments end to end.

Staff level · 6+ years · Boston, MA · Full-time

Must have (4)
PythonREST APIscloudLLMs
Nice to have (3)
agent frameworkseval frameworksAI observability

Posted 2 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 700 people in the Boston, MA area plausibly meet what this posting asks for (software developers). range 290–1,050

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
Python51%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $169,742 (middle half $134,780–$187,781).

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 (6)

The role is based in either Boston, MA or San Francisco/Berkeley, CA (hybrid, 2 days/week in office). Boston is used as the primary CBSA; the San Francisco CBSA (41860) is an equally valid location for this posting.

No compensation figures are stated in the posting.

The LLM requirement is stated broadly as 'LLM-based systems, prompts, tools, or agent frameworks' — no specific framework (e.g. LangChain, LlamaIndex) is named, so LLMs is captured as the canonical skill.

Cloud is required but no specific provider (AWS, Azure, GCP) is named.

'Agent frameworks', 'eval frameworks', and 'AI observability' appear under the 'Nice to Have' section and are marked preferred accordingly.

The role explicitly states 'You are not a solutions engineer. You are an engineer who ships.' — reinforcing that this is a hands-on IC engineering role, not a pre-sales or customer success function, consistent with the Staff Software Developer classification.

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