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

Jack & Jill | San Francisco, California, United States | Today
$100,000 – $150,000/yr| full-time | hybrid | lead
skills: typescript, go, rust, llm systems, systems engineering, event-driven architecture, ai

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network

The next step is to speak to Jack.

Job Title: Founding AI Engineer — Agent Runtime

Salary: $100k-$150k + Equity

Company Description: Pareto Agent - VC-backed AI startup building a policy-driven runtime for high-stakes commercial workflows.

Job Description:

Join Pareto Agent as the first engineering hire to build the execution layer for autonomous B2B sales agents. 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.

Location: San Francisco, USA

Why this role is remarkable:

  • Founding opportunity as the first engineer, offering significant 1.5% equity and direct influence on the technical architecture of a $3.5M-funded startup.
  • Work alongside serial founders Evan Liang (ex-LeanData CEO) and Maurizio Greco (20+ year CTO) who have successfully scaled multiple B2B companies.
  • 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.

What you will do:

  • Design and own the multi-stage agent pipeline, including intent classification, context assembly, and reasoning loops to enable reliable autonomous decision-making.
  • Build a robust event-driven runtime and evaluation framework to enforce commercial policies and catch regressions before they impact customers.
  • Architect sophisticated context management systems that determine how to retrieve, compress, and utilize data as agent complexity scales across various industries.

The ideal candidate:

  • Proven experience building production-grade LLM systems where reliability was mission-critical, moving beyond "it usually works" to deterministic outcomes.
  • Strong systems thinking with professional proficiency in typed languages such as TypeScript, Go, or Rust for building scalable, type-safe infrastructure.
  • Self-directed engineer comfortable in early-stage environments who can diagnose whether failures stem from prompts, system design, or LLM limitations.

Who are Jack & Jill?

Ok, I'll go first. 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. 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.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

Next steps

Step 1. Visit our website.

Step 2. Click 'Talk to Jack'.

Step 3. Talk to Jack so he can understand your experience and ambitions.

Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.

Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.

Step 6. If not, Jack will find you excellent alternatives. All for free.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Benefits

equity
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