Full Stack Engineer

Seer; Seattle (WA); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Seer is seeking a Full-Stack Engineer for their AI-native travel platform. This role involves creating user-friendly travel planning interfaces and AI agents that assist users throughout their travel decisions.

The ideal candidate will excel in building end-to-end product features across web and mobile formats, helping users effectively plan and manage their travel experiences.

Qualifications

• Experience building user-focused systems in a full-stack environment.
• Proficient in developing AI-driven interfaces and booking systems.
• Capable of designing data models for effective user personalization.

Responsibilities

• Design and implement conversational travel planning interfaces.
• Build AI-driven agents that assist users during travel planning.
• Ship product features across frontend, backend, and AI systems.

Skills

Conversational interface design

AI systems development

Frontend and backend integration

Job description

Full-Stack Engineer — AI-Native Agentic Travel Platform

We are building a deeply personal, AI-native travel companion designed to become the trusted travel agent for life. Travel is one of the most meaningful parts of people’s lives — yet today’s tools remain fragmented, transactional, and disconnected from user intent.

We are creating a system that learns each traveler over time, applies judgment, and handles complex multi-step travel planning and booking through an intelligent agent. The product is AI-native from the ground up, where agent behavior, trust, and long-term memory are core system primitives.

We are seeking a Full-Stack Engineer to build and ship core product experiences end-to-end across web and mobile surfaces, powering how users plan, book, and manage travel through AI systems.

What You’ll Do

Build Agentic User Experiences

• Design and implement conversational travel planning interfaces
• Build AI-driven agents that reduce cognitive load and guide users through complex travel decisions
• Ship end-to-end product features across frontend, backend, and AI systems
• Develop systems that construct and maintain durable user travel profiles
• Design data models that support long-term memory and personalization
• Build systems that evolve user understanding from real behavioral signals over time

Design and Implement Booking Systems

• Build multi-step booking agents with strong guardrails and controllable execution flows
• Implement transactional systems for search, booking, and observability