zaimler

zaimler

Founding AI Engineer — Agent Runtime ($100k-$150k + Equity) at Pareto Agent

San Francisco, CA · Senior

Sponsorship not specified$100k-$150kDetected 189 days ago
TypeScriptGoLLMsSalesSystems Engineering

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odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

The bottom of this range ($100,000) is below the Level I prevailing wage of $137,093. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Unlike standard LLM wrappers, you will architect a deterministic, policy-driven runtime that governs agent actions in real-world negotiations.
  • Reporting to a serial-entrepreneur CTO, you'll ensure every AI decision protects revenue and follows strict guardrails.
  • Founding opportunity as the first engineer, offering significant 1.5% equity and direct influence on the technical architecture of a $3.5M-funded startup.

Responsibilities

  • Design and own the multi-stage agent pipeline, including intent classification, context assembly, and reasoning loops to enable reliable autonomous decision-making.
  • Proven experience building production-grade LLM systems where reliability was mission-critical, moving beyond "it usually works" to deterministic outcomes.
  • Self-directed engineer comfortable in early-stage environments who can diagnose whether failures stem from prompts, system design, or LLM limitations.
  • Company Description: Pareto Agent - VC-backed AI startup building a policy-driven runtime for high-stakes commercial workflows.
  • Tackle deep systems engineering challenges by moving beyond simple chat interfaces to build a self-improving, safe-by-construction execution system for high-stakes commerce.
  • Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

Requirements

  • Strong systems thinking with professional proficiency in typed languages such as TypeScript, Go, or Rust for building scalable, type-safe infrastructure.
  • The ideal candidate:

Compensation

  • Salary: $100k-$150k + Equity

Benefits

  • $100k-$150k + Equity
  • I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career.

Company info

  • Pareto Agent - VC-backed AI startup building a policy-driven runtime for high-stakes commercial workflows.
  • Build a robust event-driven runtime and evaluation framework to enforce commercial policies and catch regressions before they impact customers.
  • This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

This listing is sourced directly from zaimler's careers page and normalized into a canonical job model.