Remote AI Systems Full-Stack Engineer

Procom

United States

À distance

USD 120 000 - 180 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

Procom is seeking a Full Stack Developer to build end-to-end product features across frontend, backend, and AI integrations. You will design agent workflows for planning, tool use, failure, and recovery, and integrate LLMs, memory, and external tools for reliable system behavior.

Design real-time AI interactions with streaming and latency constraints. You will enhance system reliability, observability, and fallback mechanisms while collaborating with ML, backend, and product teams to ship

Qualifications

  • Strong experience in full stack engineering (frontend + backend).
  • Solid understanding of system design and API architecture.
  • Experience with LLMs, RAG systems, or AI-powered applications.
  • Ability to handle ambiguity and make pragmatic engineering decisions.
  • Strong ownership from idea to production.
  • Comfort in fast-moving environments with evolving requirements.

Responsabilités

  • Build end-to-end product features across frontend, backend, and AI integrations.
  • Design agent workflows for planning, tool use, failure, and recovery.
  • Integrate LLMs, memory, and external tools for reliable system behavior.
  • Design real-time AI interactions with streaming and latency constraints.
  • Enhance system reliability, observability, and fallback mechanisms.
  • Collaborate with ML, backend, and product teams to ship features.

Connaissances

Full stack
API architecture
LLMs/RAG
Ambiguity management
Production ownership
Fast-paced environment

Outils

Next.js
PyTorch
Kubernetes
Docker
SQL/NoSQL
OpenAI/Anthropic LLMs

Description du poste

Procom is seeking a Full Stack Developer to build end-to-end product features across frontend, backend, and AI integrations. You will design agent workflows for planning, tool use, failure, and recovery, and integrate LLMs, memory, and external tools for reliable system behavior.

Design real-time AI interactions with streaming and latency constraints. You will enhance system reliability, observability, and fallback mechanisms while collaborating with ML, backend, and product teams to ship

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