Full Time: Full Stack Engineer (start-up experience required)

kpg99 inc
Seattle, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Seattle, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
User Authentication
Cloud Engineering
Software Architecture
Next.js
Data Streaming
TypeScript
React
Backend
Data Layers
Information Technology
Front End Software Development
Software Coding
Serverless Computing

Job description

We are seeking a Full Stack Engineer to help build the company's core AI-powered travel experience. This person will own product features end to end across the frontend, backend, and AI-enabled user experience.

This is a strong fit for an engineer who wants to work broadly across the stack, think beyond tickets, and help shape both the technical implementation and the product experience itself.

What You'll Work On

  • Conversational planning experiences that reduce user friction
  • Agent-driven experiences that build and evolve traveler profiles over time
  • Multi-step booking workflows with strong guardrails and user control
  • Full-stack web and mobile-optimized features
  • Authentication, consent, and secure account systems
  • APIs and data models supporting long-term user memory
  • Real-time streaming interfaces powered by AI systems
  • Transactional booking systems with strong reliability requirements
  • Architectural decisions that balance speed and long-term leverage
  • Coding standards and engineering patterns across the stack

Requirements

  • Bachelor's degree in Computer Science or related technical field
  • 5+ years building full-stack systems at scale
  • Comfort with ambiguity, autonomy, and startup pace
  • Strong ownership and engineering quality bar
  • Ability to influence through clarity, experimentation, and judgment
  • Must have start-up experience

Preferred

  • Next.js, React, TypeScript
  • AWS, Vercel, or similar cloud / serverless stack
  • Durable workflow engines such as Temporal
  • Typed APIs and structured data layers
  • Relational and vector databases
  • AI runtimes with streaming and tool execution
  • Cloud-native deployment and observability

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