Remote Full-Stack AI Systems Engineer

Ginas Tech Jobs

San Francisco (CA)

Remoto

USD 140.000 - 190.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Medical insurance
Dental coverage
Vision coverage
Savings plan
Paid time off

Descrizione del lavoro

Ginas Tech Jobs is seeking a Full Stack Engineer specializing in AI Systems to build production-grade workflows that leverage agents, LLMs, memory, and external tools. You will design end-to-end features spanning frontend, backend, and AI integrations, with a focus on reliability, latency, and robust fallback mechanisms.

The role is 100% remote, offering a competitive salary range and opportunities to ship AI-native capabilities at scale.

Competenze

  • Strong experience in Full Stack Engineering
  • AI experience required
  • Ability to handle ambiguity and make pragmatic engineering decisions

Mansioni

  • Build end-to-end product features across frontend, backend, and AI integrations.
  • Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
  • Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions.
  • Design real-time AI interactions with streaming, partial results, and tight latency constraints.
  • Improve system reliability, observability, and fallback mechanisms.
  • Collaborate closely with ML, backend, and product teams to ship features end-to-end.
  • Continuously iterate based on real usage and failure modes.

Conoscenze

Full stack engineering
AI experience
Frontend development
Backend development
API design
Ambiguity handling
Ownership

Formazione

Bachelor's degree or higher

Strumenti

Docker
Kubernetes
Next.js
Node.js
Python
OpenAI
Claude

Descrizione del lavoro

Ginas Tech Jobs is seeking a Full Stack Engineer specializing in AI Systems to build production-grade workflows that leverage agents, LLMs, memory, and external tools. You will design end-to-end features spanning frontend, backend, and AI integrations, with a focus on reliability, latency, and robust fallback mechanisms.

The role is 100% remote, offering a competitive salary range and opportunities to ship AI-native capabilities at scale.

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