Senior Fullstack Engineer — Application Experiences (Vue/React, Python)

Location: Palo Alto, United States; hybrid working model

Company

hirify.global is an AI company with 100+ employees building software that transforms core enterprise functions for Fortune 500 companies through code, statistical methods, guided ML, and LLM execution.

What you will do

• Build and ship full-stack features across frontend interfaces, backend services, and API integrations, from prototypes through production releases.
• Develop responsive and accessible web experiences for different user roles and workflows, including AI input, progress tracking, output review, correction, and approval flows.
• Build application services and APIs connecting user experiences with business logic, enterprise data, and AI capabilities.
• Contribute to component design, state management, service boundaries, integration patterns, performance, and reliability.
• Handle streaming responses, long-running operations, incomplete results, and failures; build automated tests, instrumentation, and evaluation practices.
• Participate in technical design, code reviews, knowledge sharing, mentoring, and cross-functional delivery with product, design, domain, platform, infrastructure, and security teams.

Requirements

• 6+ years of professional software engineering experience, including substantial experience building and shipping production web applications.
• Experience delivering features across frontend interfaces, backend services, and API integrations.
• Hands-on experience building AI-powered applications and integrating LLM or agent capabilities into user-facing workflows.
• Strong proficiency in TypeScript or JavaScript and modern frontend frameworks such as Vue or React.
• Experience designing maintainable web applications with reusable components, application state, routing, and data fetching.
• Experience building backend application services in Python and designing REST APIs.
• Experience integrating REST APIs and asynchronous services, including streaming updates and long-running tasks.
• Strong understanding of web performance, responsive design, and accessibility.
• Practical understanding of LLM application patterns, including conversational interfaces, structured outputs, retrieval-augmented generation, and human review.
• Ability to turn ambiguous business needs into user journeys, technical designs, and manageable implementation steps; communicate tradeoffs and work independently in a fast-moving startup environment.
• Experience collaborating with product managers, designers, domain experts, and platform engineers.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Culture & Benefits

• Hybrid working model.
• Opportunities to deepen technical expertise, mentor others, and take on broader engineering ownership.
• Direct ownership of applications that bring AI capabilities into everyday enterprise work.
• Compensation tailored to experience and skill set.