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Full Stack Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: KPG99 INC
Full Time position
Listed on 2026-06-25
Job specializations:
  • Software Development
    Full Stack Developer, Backend Developer, Front End Developer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Full Time: Full Stack Engineer (start-up experience required)

Our client is building an AI-native consumer travel platform designed to redefine how people explore, plan, and book travel.

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
Qualifications
  • 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, Type Script
  • 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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