Senior AI Platform Architect - Lead Scalable Agentic AI

CirrusLabs, LLC

Atlanta (GA)

Vor Ort

USD 180.000 - 240.000

Vollzeit

vor 31 Stunden
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Competitive compensation
Flexible work arrangements

Zusammenfassung

CirrusLabs, LLC seeks an AI Full Stack Architect to lead the end-to-end design of agentic AI systems and full-stack applications at enterprise scale. You will own architecture for LLM-powered platforms using AWS Bedrock, Python, Node.js, and React/Next.js, guiding teams across AI, backend, and frontend layers.

You will mentor engineers, drive RFCs, and shape guardrails for responsible AI while delivering multi‑agent, tool-using capabilities with robust performance and cost controls.

Qualifikationen

  • Experience building autonomous agents and tool-calling agents.
  • Hands-on with LangChain, LangGraph, AutoGen, CrewAI or Bedrock Agents.
  • Front-end experience with React/Next.js for AI-powered UIs.
  • Proficiency in prompt engineering, RAG, few-shot learning, and fine-tuning.

Aufgaben

  • Architect autonomous, multi-step, and tool-using AI agents using Bedrock Agents.
  • Design multi-agent orchestration topologies and handoff protocols.
  • Establish agent design patterns: memory, context, tool sequencing, retries, and recovery.
  • Define guardrails, safety layers, and responsible AI standards for all systems.

Kenntnisse

Architectural thinking
Hands-on builder
Mentorship
Cross-functional collaboration
Front-end React/Next.js
LLMs / AI integration

Tools

AWS Bedrock
LangChain
LangGraph
AutoGen
CrewAI
Pinecone
Lambda
S3
API Gateway
ECS/EKS

Jobbeschreibung

CirrusLabs, LLC seeks an AI Full Stack Architect to lead the end-to-end design of agentic AI systems and full-stack applications at enterprise scale. You will own architecture for LLM-powered platforms using AWS Bedrock, Python, Node.js, and React/Next.js, guiding teams across AI, backend, and frontend layers.

You will mentor engineers, drive RFCs, and shape guardrails for responsible AI while delivering multi‑agent, tool-using capabilities with robust performance and cost controls.

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