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Agentic AI Engineer (LLM & Autonomous Systems)
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About the Role
Agentic AI Engineer (LLM & Autonomous Systems)
Company: APPIT Software Solutions Location: Austin, USA (Remote) Experience Level: Senior (5+ years) Valid through: 2026-12-31
Architect and build autonomous AI systems, designing production-grade agentic workflows that leverage LLMs for complex reasoning, planning, and tool execution at enterprise scale.
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
Required Skills: Python, LangGraph, AutoGen, Multi-Agent Systems, LLM APIs, Distributed Systems, Kubernetes, Observability
Compensation: $170,000 - $260,000 USD annually
Education: Master's or PhD in Computer Science, AI, or related field preferred
Job ID: APPIT-AIML-AGENTIC-AUS-036