AI Product Engineer

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. 

Key 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 

Required Qualifications 

• 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) 

Preferred Qualifications 

• 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 

Other Qualifications  

The Winning Way behaviors that all Vertex employees need in order to meet the expectations of each other, our customers, and our partners.  

• Communicate with Clarity - Be clear, concise and actionable. Be relentlessly constructive. Seek and provide meaningful feedback.  

• Act with Urgency - Adopt an agile mentality - frequent iterations, improved speed, resilience. 80/20 rule – better is the enemy of done. Don’t spend hours when minutes are enough.  

• Work with Purpose - Exhibit a “We Can” mindset. Results outweigh effort. Everyone understands how their role contributes. Set aside personal objectives for team results.  

• Drive to Decision - Cut the swirl with defined deadlines and decision points. Be clear on individual accountability and decision authority. Guided by a commitment to and accountability for customer outcomes.  

• Own the Outcome - Defined milestones, commitments and intended results. Assess your work in context, if you’re unsure, ask. Demonstrate unwavering support for decisions.