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CBH

AI Agent – Automation Developer

CBH

. Design and implement AI agents using LLMs, planning algorithms, and decision-making frameworks .

Posted 5/21/2026full-timeRaleigh • Florida, North Carolina, Virginia • 🇺🇸 United StatesJuniorMid-Level💰 $54,245 - $134,000 per yearWebsite

Tech Stack

Tools & technologies
AzurePythonPyTorch

About the role

Key responsibilities & impact
  • Design and implement AI agents using LLMs, planning algorithms, and decision-making frameworks
  • Develop agent architectures that support autonomy, interactivity, and task completion
  • Integrate agents into applications, APIs, or workflows (e.g., chatbots, automation tools)
  • Collaborate with researchers, engineers, and product teams to iterate on agent capabilities
  • Optimize agent behavior through feedback loops, reinforcement learning, or user interaction
  • Engineer and manage context for agents to ensure they access the right information at the right time
  • Monitor performance, conduct evaluations, and implement safety and guardrail mechanisms
  • Maintain thorough documentation of agent logic, design decisions, and dependencies
  • Stay up to date with industry developments and advancements in AI, machine learning, and agent-based technologies
  • Collaborate with stakeholders and engineering teams to integrate AI agents with Microsoft-specific platforms such as Copilot Studio, Azure AI, and Semantic Kernel SDK
  • Build and deploy enterprise-grade Copilots using Microsoft’s orchestration tools, enabling seamless interaction across Microsoft 365, Dynamics, and custom business applications

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, AI, Machine Learning, or a related field
  • Proven experience in agent-based systems, or intelligent automation, with a minimum of 2 years in a similar role
  • Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g., LangChain, OpenAI API, Hugging Face, PyTorch)
  • Understanding of agent-based modeling, multi-agent systems, or reinforcement learning
  • Experience building applications with LLMs or generative AI models
  • Familiarity with API development, backend services, and deployment pipelines
  • Ability to work independently in experimental and fast-paced environments
  • Excellent communication and interpersonal skills, with the ability to build strong relationships with business and technical stakeholders
  • Analytical mindset with the ability to solve complex problems and make data-driven decisions
  • Demonstrated understanding of data quality, integrity, and systems integration

Benefits

Comp & perks
  • Competitive compensation and a total rewards package that focuses on all aspects of your wellbeing
  • Annual bonus
  • Medical, dental, and vision care
  • Disability and life insurance
  • Generous Paid Time Off
  • Retirement plans
  • Paid Care Leave
  • Other programs that enhance your personal and work life and provide financial protection

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonAIMachine LearningLLMsReinforcement LearningLangChainOpenAI APIHugging FacePyTorchAPI Development
Soft Skills
CommunicationInterpersonal SkillsAnalytical MindsetProblem SolvingData-Driven Decision MakingIndependenceCollaborationRelationship BuildingAdaptabilityAttention to Detail
Certifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in AIBachelor’s Degree in Machine Learning