Staff Backend Engineer - Submission Processing at Kalepa
$200,000–$290,000from the description
Jul 7, 2026
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Jul 21, 2026
What this job asks for AI summary
A staff-level backend engineering role focused on building and scaling LLM-based systems that process large volumes of unstructured data for insurance underwriting workflows. The work involves system design, architectural decision-making, and end-to-end ownership of production AI pipelines. Best suited to engineers with 8+ years of experience who have shipped LLM systems at scale, particularly using Python and AWS.
Senior level · 8+ years · Remote · Full-time
Advertised as Staff, but the requirements read as Senior.
“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 23,800 people nationally plausibly meet what this posting asks for (software developers). range 14,300–35,800
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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). 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 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The title is 'Staff engineer' but the requirements — 8+ years, strong fundamentals, production LLM experience — are consistent with a Senior IC band. Staff is retained as the advertised level; the assessed level is Senior.
Python is listed with the qualifier 'though we're open to strong candidates from other OO backgrounds', meaning the specific language is somewhat flexible, but it is still placed in the requirements block and is the team's primary stack — treated as a hard gate.
PostgreSQL is listed with 'ideally', softening it slightly, but it appears within the requirements block; treated as a hard gate with common relational-DB alternatives noted.
Document pipelines / large-scale data processing experience is listed under 'Bonus' — treated as preferred.
Asynchronous workflows and cloud environments are mentioned as requirements but name no distinct tool beyond AWS/Lambda/EC2, so they are captured through those skills rather than as separate vague entries.
Salary range ($200k–$290k/year) is explicitly noted as an estimate that may vary by experience, interview performance, and geography.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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