Job Description
Full details about the role and requirements
Yukerja Summary
The AI Product Engineer role at Vertex Inc. is curated from Remote Jobs (category Kreatif & Desain). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.
Job Description
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 teamsoperate,makedecisions, andachievebusiness 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 acrossVertexand responsibility for products expected to create measurable business impact.
Key Responsibilities
- Develop deep domainexpertisein customer and internal workflows,operatinglike 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 theend?to?endlifecycleof AI products, from discovery and UX/UI design through development, deployment, and iteration
- Design and buildenterprise web applicationsthat support multiple user personas, workflows, and permissions
- Leadproduct discovery discussionsto 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 shipproduction?gradefull?stackapplicationsintegrating GenAI/LLM capabilities
Required
Qualifications
- 0–3 years of experience inAI product engineering,product-design-focusedfull?stackengineering, orproduct?focusedsoftware roles
- Experiencedesigning,owningand shippingend?to?end,user?facingapplications
- Hands?onexperience integratinggenerative AIinto complex web applications
- Demonstrated experience withproduct design in practice, including UX flows, UI decisions, and enterprise workflow design
- Portfolio required: examples ofAI?poweredproducts or systems (GitHub repositories, demos, deployed applications, or case studies)
Preferred
Qualifications
- Experience buildingAI?poweredenterprise productssuch as internal platforms, SaaS tools, or workflow anddecision?supportsystems
- Experience designingmulti?step,non?linearproduct experiencesfor different user personas
- Familiarity withfrontend frameworks and UX tools(e.g., React, Figma)
- Consulting orcustomer?facingexperience 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 needin order tomeet the expectations of each other, our customers, and our partners.
- Communicate with Clarity- Be clear,conciseand actionable. Be relentlessly constructive.Seekand 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’tspend hours when minutes are enough.
- Work with Purpose-Exhibita “We Can” mindset. Results outweigh effort. Everyone understands how their role contributes. Set aside personalobjectivesfor 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 commitmentto andaccountability for customer outcomes.
- Own the Outcome- Defined milestones,commitmentsand intended results. Assess your work in context, ifyou’reunsure, ask. Demonstrate unwavering support for decisions.
Pay Transparency Statement
US Base Salary Range: $104,900.00 - $136,400.00Base pay offered to new hires may vary based upon factors including relevant industry and job-related skills and experience, geographic location, and business needs.* The range displayed does not encompass the full potential of the role, which allows for further growth and career progression.
In addition, as a part of our total compensation package, this role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grants.
Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs.
*In no case will your pay fall below applicable local minimum wage
requirements.
Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/ai-product-engineer-vertex-inc