Staff AI Platform Engineer - Technical Lead

Stord

États-Unis

À distance

USD 180 000 - 240 000

Plein temps

14 jours+

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Résumé du poste

Stord is revolutionizing the logistics space by building a TS-based AI platform. We seek a Staff Software Engineer to lead architectural decisions, drive technical strategy, and accelerate the growth of our AI capabilities across the product suite.

You will work hands-on with Cloudflare Workers and edge components, mentor engineers, and partner with product teams to deliver scalable, reliable AI features that enhance consumer experiences at scale.

Qualifications

  • TypeScript (production) experience and ownership of a large TS codebase.
  • Experience building agentic/LLM-powered features in production.
  • Knowledge of edge computing and distributed systems for scale.

Responsabilités

  • Own the AI platform architecture and technical vision; communicate rationale to stakeholders.
  • Drive strategy with product and engineering leaders; translate goals into actionable plans.
  • Evaluate build-vs-buy decisions and new tech with a production-first mindset.
  • Establish and enforce quality standards via reviews and architectural guidance.
  • Mentor engineers and create leverage through reusable abstractions and tooling.
  • Collaborate with product, data scientists, and backend teams to integrate AI capabilities.

Connaissances

TypeScript
Edge computing
AI/LLM application development
Distributed systems
API design
Observability

Outils

Cloudflare Workers
Drizzle ORM
D1/SQLite
Anthropic Claude
OpenTelemetry
Datadog

Description du poste

Stord is revolutionizing the logistics space by building a TS-based AI platform. We seek a Staff Software Engineer to lead architectural decisions, drive technical strategy, and accelerate the growth of our AI capabilities across the product suite.

You will work hands-on with Cloudflare Workers and edge components, mentor engineers, and partner with product teams to deliver scalable, reliable AI features that enhance consumer experiences at scale.

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