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Back to all positions
AI & Machine LearningFull-timeRemote

Agentic AI Engineer (LLM & Autonomous Systems)

Architect and build autonomous AI systems at APPIT Software, designing production-grade agentic workflows that leverage LLMs for complex reasoning, planning, and tool execution at enterprise scale.

Austin, USA
Full-time
AI & Machine Learning

Responsibilities

  • Architect production-grade agentic AI systems with complex reasoning capabilities
  • Design multi-agent collaboration frameworks for distributed task execution
  • Build robust tool-calling infrastructure with error handling and retry mechanisms
  • Implement advanced memory architectures including episodic, semantic, and procedural memory
  • Develop monitoring and observability systems for agent behavior in production
  • Lead research into novel agentic AI patterns and autonomous decision-making frameworks

Requirements

  • 5+ years of ML engineering with 2+ years building agentic AI systems
  • Expert-level knowledge of LangChain, LangGraph, AutoGen, or similar agent frameworks
  • Deep understanding of LLM capabilities, limitations, and failure modes
  • Experience designing and deploying autonomous systems in production environments
  • Strong background in distributed systems and microservices architecture
  • Proven ability to work independently and drive technical initiatives remotely

Nice to Have

  • Experience with cognitive architectures (ACT-R, SOAR concepts)
  • Knowledge of formal verification methods for AI systems
  • Contributions to open-source agentic AI projects

Skills

PythonLangGraphAutoGenMulti-Agent SystemsLLM APIsDistributed SystemsKubernetesObservability

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