Sr. AI Systems Engineer
Team: AI
Location: Atlanta, GA
Commitment: Full-time
Workplace Type: hybrid
Salary:
Solve the Problems That Matter Most
How You'll Make an Impact:
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Design and develop agentic AI workflows using LLM orchestration frameworks while implementing planning, reflection, and tool-use patterns
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Architect and build system integrations connecting AI agents to internal APIs, databases, and third-party SaaS platforms
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Develop and maintain Human-in-the-Loop (HITL) checkpoints and escalation logic to surface agentic decisions for human validation
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Implement observability and feedback loops within deployed agents to capture performance signals, exception rates, and decision traces
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Analyze existing technical workflows to identify automation opportunities and produce engineering-ready specifications
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Contribute to documentation standards for agentic systems including technical specs, architecture diagrams, and runbooks
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Partner with internal stakeholders to translate operational pain points into technical requirements
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Conduct all business in accordance with company policies and procedures
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Perform all other duties as assigned
The Expertise You'll Bring:
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Typically requires a minimum of 3 years of related experience with a Bachelor's degree or 2 years with a Master's degree
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Preferred 3+ years in software or systems engineering with at least 1 year focused on LLM-based automation or agentic system design
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Bachelor's degree in Computer Science, Software Engineering, or a related technical field preferred
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Proficiency in Python and at least one LLM orchestration framework such as LangChain, LlamaIndex, or CrewAI
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Strong API integration skills across REST and GraphQL including comfort with various authentication patterns
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Working knowledge of prompt engineering, retrieval-augmented generation (RAG), and tool/function calling patterns
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Experience with SQL and NoSQL databases including schema design for agentic memory and state management
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Familiarity with cloud environments and deployment patterns for AI workloads
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Version control proficiency using Git with disciplined branching and documentation practices
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Ability to decompose complex processes into discrete and testable automation components
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Experience designing observability into systems including logging, alerting, and performance tracking
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Ability to communicate technical architecture and tradeoffs clearly to non-technical stakeholders
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Comfort working across functions to gather requirements and iterate on agent behavior
Education and Experience
Knowledge and Abilities
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