Founding Engineer at AI-native enterprise decision platform at Jack & Jill/External ATS

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

0.0

Posted On

26 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Go, TypeScript, Distributed Systems, Data Infrastructure, AI, Machine Learning, Product Development, Technical Architecture, API Development, Model Orchestration, Data Ingestion, Engineering Standards, Startup Experience, Problem Solving, Generalist Mindset

Industry

Staffing and Recruiting

Description

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. Founding Engineer Company Description: AI-native enterprise decision platform Job Description: You will architect a revolutionary AI operating system designed to automate professional judgment for enterprise business decisions. As a founding engineer, you will build core intelligence engines from scratch, orchestrating complex reasoning models to transform fragmented data into actionable insights. This is a high-impact role shaping the technical DNA of an AI-first startup. Location: San Francisco, USA Why this role is remarkable: Lead the architecture of a platform disrupting a multi-billion dollar professional services industry by automating high-stakes reasoning. Join a well-funded startup backed by top-tier VCs and founded by experienced leaders from major tech and consulting firms. Shape the engineering culture and technical stack of an AI-first organization with significant ownership and high velocity. What you will do: Design and build the core intelligence engine end-to-end, including data ingestion, model orchestration, and API layers. Own the technical architecture across Python, Go, and TypeScript to support scalable, evolvable systems for enterprise use. Partner directly with founders to define the technical vision, product roadmap, and engineering standards for the company. The ideal candidate: Proven experience shipping complex products end-to-end, ideally within a startup or small, high-growth engineering team. Strong foundations in distributed systems, data infrastructure, or AI/ML with fluency in modern stacks like Python and React. Generalist mindset with a bias for action, capable of navigating ambiguity and building simple, craftsmanship-focused solutions. 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.

Responsibilities

You will design and build the core intelligence engine end-to-end, including data ingestion, model orchestration, and API layers. You will also own the technical architecture to support scalable systems for enterprise use.