AI Product Engineer

Vertex Inc.•King of Prussia, PA

2d•$104,900 - $136,400

About The Position

Vertex is seeking an AI Product Engineer to design, build, and deliver AI-powered enterprise web applications that create AI-native customer and internal experiences. In this role, you will help define how users interact with intelligent systems to make better decisions, work more efficiently, and scale their impact across the organization. You will own the full AI product lifecycle—from product discovery and UX/UI design to full-stack development and production deployment—turning complex business challenges into intuitive, scalable solutions. The work centers on reimagining workflows with AI, transforming how customers and internal teams operate, make decisions, and achieve business outcomes. This is a demanding, high-visibility role focused on problems where successful execution matters. The work will require urgency, judgment, and ownership, with direct exposure to leaders across Vertex and responsibility for products expected to create measurable business impact.

Requirements

0–3 years of experience in AI product engineering, product-design-focused full‑stack engineering, or product‑focused software roles
Experience designing, owning and shipping end‑to‑end, user‑facing applications
Hands‑on experience integrating generative AI into complex web applications
Demonstrated experience with product design in practice, including UX flows, UI decisions, and enterprise workflow design
Portfolio required: examples of AI‑powered products or systems (GitHub repositories, demos, deployed applications, or case studies)

Nice To Haves

Experience building AI‑powered enterprise products such as internal platforms, SaaS tools, or workflow and decision‑support systems
Experience designing multi‑step, non‑linear product experiences for different user personas
Familiarity with frontend frameworks and UX tools (e.g., React, Figma)
Consulting or customer‑facing experience translating business problems into technical solutions
Equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree
Solo-shipping projects through to launch

Responsibilities

Develop deep domain expertise in customer and internal workflows, operating like a forward-deployed product engineer who learns the business, users, data, constraints, and decision paths well enough to design AI products that meaningfully change how the work gets done
Own the end‑to‑end lifecycle of AI products, from discovery and UX/UI design through development, deployment, and iteration
Design and build enterprise web applications that support multiple user personas, workflows, and permissions
Lead product discovery discussions to understand operational processes, user needs, and business constraints
Create AI-native product and UX patterns that go beyond traditional software and chat interfaces, including human-in-the-loop review flows, contextual decision support, workflow automation, confidence and escalation experiences, and interfaces for collaborating with intelligent systems
Build and ship production‑grade full‑stack applications integrating GenAI/LLM capabilities