Customer-Embedded AI Automation Engineer

Ventus AI; San Mateo, Northern (CA, KY); Hybrid; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Ventus AI in the United States builds computer-using agents that automate real tasks in freight and logistics. This customer-embedded role owns technical delivery from end to end, collaborating with operations leaders to translate workflows into AI behaviors and deploy agents in production.

You'll work in a startup environment, balancing field work, engineering, and problem-solving, with opportunities to shape product and delivery strategy across diverse customers in the U.S.

Qualifikationen

• Strong Python skills and ability to build robust, testable systems.
• Excellent written and verbal communication to distill customer needs.
• Experience translating complex workflows into reliable automation.
• Ability to adapt quickly in an ambiguous startup environment.

Aufgaben

• Partner with customers to understand operational workflows and identify automation opportunities
• Write robust, production-grade prompts and logic for agents to operate across unstructured interfaces
• Own delivery: deploy, refine, and expand automation across customer environments
• Diagnose failures and collaborate with the team to improve agent capabilities

Kenntnisse

Python

Communication

Problem solving

Fast learner

Jobbeschreibung

Ventus AI builds computer-using agents — autonomous AI workers that interact with emails, portals, and documents just like a human would. These agents execute real operational tasks in freight and logistics — from parsing tenders to submitting invoices and syncing systems — without relying on APIs. We’re deployed at top brokers, shippers, and 3PLs and scaling fast.

Backed by top investors including Andreessen Horowitz (a16z) , WndrCo , and Samsung , we’re on a mission to transform how the global supply chain runs.

The Role

This is a customer-embedded role where you’ll own technical delivery from end to end. You’ll work directly with operations leaders to understand complex workflows, translate them into reliable AI behaviors, and deploy computer-using agents that perform real work in production environments. It’s a rare mix of field work, engineering, and problem-solving in the wild.

What You’ll Do

Partner with customers to deeply understand operational workflows and identify high-leverage automation opportunities

Write robust, production-grade prompts and logic for agents to reason and act across unstructured interfaces (emails, portals, documents)

Own delivery: deploy, refine, and expand automation across customer environments

Diagnose and solve complex failure modes — from ambiguous data to UI edge cases — and collaborate with applied research to improve agent capabilities

Why This Role Is Special

Early-stage with real traction – You’ll be joining a growing team with strong customer demand and real deployments across the U.S.

Built for hybrids – Ideal if you have both technical and business instincts: maybe you have a CS degree and have worked in consulting or sales, or a business degree but have built tech on the side

Product + delivery ownership – You’ll shape how our agents behave, where they go next, and how we evolve the product

Startup operator’s training ground – You’ll touch product, delivery, and customer success — ideal if you’re aiming to build your own startup later

What We’re Looking For

Strong Python skills; capable of building robust, testable systems

Experience reasoning through messy business processes and designing logic or rules to automate them

Clear communicator who can work directly with customers and distill their needs into structured implementations

Fast learner who thrives in ambiguity and wants to ship real impact

No traditional CS background required — but you must be fluent in making software do things reliably