Founding Engineer (AI & Full Stack)

coffeespace • San Francisco Bay Area
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AI Summary

Join a seed-stage AI startup as a founding engineer to build customer-facing AI agents, automate complex workflows, and define the product, architecture, and engineering culture. Requires 5+ years of software engineering experience and strong full-stack skills. Exciting opportunity to work with a proven founding team and shape the company's direction.

Key Highlights
Build customer-facing AI agents and automate complex workflows
Define product, architecture, and engineering culture
Work with a proven founding team and shape the company's direction
Key Responsibilities
Own the AI stack for freight — build agents, carrier sales automation, quoting systems, and email triage/routing using LLMs and agentic workflows
Set the technical foundation from the ground up — architecture decisions, deployment, tooling, CI/CD, and engineering culture
Build fraud prevention systems to catch and mitigate load theft across dozens of fraud vectors
Deeply embed with freight brokers — join their calls, watch them work, and turn that understanding into software that changes how they operate
Partner with the Head of Product on what to build, what to buy, and how to integrate it — you'll have a real seat at the table on business direction
Technical Skills Required
Full-stack engineering LLMs AI agents Modern AI tooling
Benefits & Perks
Salary: $180K-$250K base
Equity: 0.4%-0.8%
Relocation support available
Visa sponsorship available for select cases
Nice to Have
Previous founding engineer or startup experience
Experience building agentic workflows or AI-native products
Exposure to operationally complex industries such as logistics, supply chain, insurance, construction, manufacturing, or financial services

Job Description


About the job

Job Title: Founding Engineer (AI & Full Stack)

Salary: $180K-$250K base + 0.4%-0.8% equity

Location: Brooklyn, NY (4 days in-office)

Visa sponsorship available for select cases

Relocation support available


Company Description

Venture-backed AI startup building the autonomous operations layer for one of the largest industries in the world – freight logistics.


Despite moving trillions of dollars of goods every year, this industry still runs on phone calls, emails, spreadsheets, manual workflows, and fragmented software. Recent advances in AI have made it possible to automate work that previously required entire operational teams.


With $10M raised from leading investors, early revenue already in the hundreds of thousands, and a team of just four people, the company is building AI-native infrastructure that allows small businesses to operate with the leverage of much larger organizations.


Job Description

Join as one of the first engineering hires at a seed-stage AI startup reinventing how operational businesses run.


You'll work directly with the founders to build customer-facing AI agents that automate complex workflows across quoting, communications, operations, fraud prevention, and decision-making. This is a true founding engineer role where you'll help define the product, architecture, engineering culture, and technical roadmap from the earliest stages.


The company is already deployed with real customers, processing live business operations every day, and shipping improvements measured in hours rather than quarters.


Why this role is remarkable
  • Backed by proven operators. This employer was founded by a team who've built and scaled multiple businesses to become category leaders. You'll work hand-in-hand with people who know how to build companies.
  • True founding engineer role with real ownership. You'll be one of the first hires on a small senior team. You won't just write code — you'll shape architecture decisions, engineering culture, and product direction from day one.
  • Massive market with a clear wedge. Freight brokerage is a $600B industry filled with independent operators using terrible tools. This employer's building AI-native software for brokers running $2M–$50M books of business — a huge underserved segment that's ready for disruption.
  • Tight feedback loops with real users. You'll sit with brokers, watch them work, and ship improvements in hours — not sprints. This is the opposite of building in a vacuum. You'll see your work change how people operate in real time.
  • AI-first technical challenges. You'll own the AI stack across carrier sales automation, quoting, email triage, and fraud prevention.
  • Seed-stage equity upside. Early-stage company with a proven founding team and clear product-market fit signals (already embedded with founding agents).


What you will do
  • Own the AI stack for freight — build agents, carrier sales automation, quoting systems, and email triage/routing using LLMs and agentic workflows
  • Set the technical foundation from the ground up — architecture decisions, deployment, tooling, CI/CD, and engineering culture
  • Build fraud prevention systems to catch and mitigate load theft across dozens of fraud vectors
  • Deeply embed with freight brokers — join their calls, watch them work, and turn that understanding into software that changes how they operate
  • Partner with the Head of Product on what to build, what to buy, and how to integrate it — you'll have a real seat at the table on business direction
  • Ship fast with tight feedback loops measured in hours, not sprints — take ideas from prototype to production with real users


The ideal candidate
  • 5+ years of software engineering experience, ideally at early-stage startups
  • Strong full-stack engineering skills with experience shipping products end-to-end
  • Has built real products on top of LLMs, AI agents, or modern AI tooling in production environments
  • Comfortable operating with ambiguity, ownership, and a high degree of autonomy
  • Product-minded engineer who enjoys working directly with users and understanding business problems
  • Excited by fast-moving environments where speed of learning matters more than process
  • Long-term builder mentality with a track record of taking ownership and staying through difficult problems


Nice to have
  • Previous founding engineer or startup experience
  • Experience building agentic workflows or AI-native products
  • Exposure to operationally complex industries such as logistics, supply chain, insurance, construction, manufacturing, or financial services
  • Experience working closely with non-technical users and translating workflows into software


Next steps
  1. Apply via this LinkedIn job post.
  2. We will review applications and reach out directly if there is a strong fit.
  3. If this role is not the right match, we may suggest and make introductions to other high-signal startup opportunities we are actively recruiting for, always with your permission.


A quick note on authenticity

This is a real, active role we are supporting in close partnership with the hiring team. We do not post speculative opportunities and work directly with founders on their actual hiring needs.


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