AI-First Full-Stack Lead Engineer

iSpot

Bellevue (WA)

On-site

USD 153,000 - 188,000

Full time

2 days ago
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Benefits offered by this job

Stock options
Equity plan

Job summary

iSpot is seeking a Full-Stack Engineer to join a high-impact engineering team in the Seattle area. You will architect AI-augmented workflows bridging visionary UI with robust, high-throughput data pipelines.

You’ll lead AI-enabled UI prototyping, build scalable backends, and mentor peers in AI literacy, automated refactoring, and responsible AI in production. Eligible for equity via stock options and competitive compensation.

Qualifications

  • Extensive full-stack experience with frontend components and complex backend infrastructure.
  • Deep proficiency in AI-assisted development and integrating AI APIs/Vector Databases into production apps.
  • Strong understanding of data structures, distributed systems, and database optimization (SQL/NoSQL).
  • Quality-driven engineering with test automation and AI-enhanced coverage.

Responsibilities

  • AI-First Development: adopt AI-augmented environments to accelerate UI prototyping and backend work.
  • Full-Stack Orchestration: design features unifying UX with resilient services and fast data pipelines.
  • Intelligent Data Pipelines: build scalable streaming/batch pipelines with AI-driven transformations.
  • Technical Leadership: mentor on prompt engineering, automated refactoring, and responsible AI usage.
  • Quality & Observability: drive shift-left testing and AI-based monitoring to predict failures.
  • Cross-Functional Collaboration: align tech strategy with product/design for AI-powered experiences.
  • System Health: manage on-call duties and AI-assisted incident response.

Skills

React
TypeScript
Node.js
Python
Go
AI literacy

Job description

iSpot is seeking a Full-Stack Engineer to join a high-impact engineering team in the Seattle area. You will architect AI-augmented workflows bridging visionary UI with robust, high-throughput data pipelines.

You’ll lead AI-enabled UI prototyping, build scalable backends, and mentor peers in AI literacy, automated refactoring, and responsible AI in production. Eligible for equity via stock options and competitive compensation.

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