Senior Full-Stack Engineering Lead (AI Applications)

Location: Palo Alto, United States; hybrid working model

Company

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

What you will do

• Own the application roadmap, technical priorities, milestones, delivery, and ongoing improvement from prototypes through production.
• Build responsive and accessible web experiences for initiating tasks, providing context, reviewing AI-generated results, making decisions, and monitoring progress.
• Connect applications to backend APIs exposing business logic, enterprise data, and AI services; collaborate on API contracts and build application services as needed.
• Define frontend-backend application patterns, including component boundaries, state management, and integration approaches.
• Deliver reliable AI experiences that handle streaming responses, long-running operations, incomplete results, and failures; establish testing, observability, and evaluation practices.
• Lead a small development team through technical direction, delivery coordination, coaching, code writing and review, while partnering with product, design, domain, platform, infrastructure, and security teams.

Requirements

• 8+ years of professional software engineering experience, including substantial experience building production web applications.
• Experience owning a technical roadmap and/or leading a development team delivering applications across frontend and backend 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 frontend frameworks such as Vue and React.
• Experience designing web application architecture, including reusable components, application state, routing, and data fetching.
• Experience integrating REST APIs and asynchronous services, including streaming updates and long-running tasks.
• Practical understanding of LLM application patterns, including conversational interfaces, structured outputs, retrieval-augmented generation, and human review.
• Strong understanding of web performance, responsive design, and accessibility.
• Ability to turn ambiguous business needs into user journeys, technical plans, and delivery milestones; communicate architectural tradeoffs and collaborate 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

• Fast-moving startup environment with ownership and opportunities to expand technical and leadership responsibilities.
• Hybrid working model.
• Competitive compensation tailored to experience and skill set.
• Direct ownership of applications bringing AI capabilities into everyday enterprise work.