AI Agent & Automation Developer — Hybrid, Enterprise AI

Cherry Bekaert LLP; Augusta (GA); Hybrid; USD 117,000 - 173,000; Full time

Benefits offered by this job

Hybrid work model

Career growth & development

Job summary

Cherry Bekaert LLP is seeking an AI Agent & Automation Developer to design, build, and deploy autonomous AI agents that operate within business workflows. The role emphasizes collaboration with engineering and product teams to drive innovation and operational excellence.

The ideal candidate will have hands-on experience with LLMs, agent frameworks, and AI infrastructure, plus a strong software engineering background to deliver enterprise-grade copilots across Microsoft 365 and related platforms.

Qualifications

• 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 and experience with AI/ML libraries.

Responsibilities

• 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 access to right information.

Skills

Python

LLMs

AI/ML libraries

API development

Communication skills

Education

Bachelor's degree in Computer Science/AI/ML

Tools

LangChain

OpenAI API

Hugging Face

PyTorch

Job description

Cherry Bekaert LLP is seeking an AI Agent & Automation Developer to design, build, and deploy autonomous AI agents that operate within business workflows. The role emphasizes collaboration with engineering and product teams to drive innovation and operational excellence.

The ideal candidate will have hands-on experience with LLMs, agent frameworks, and AI infrastructure, plus a strong software engineering background to deliver enterprise-grade copilots across Microsoft 365 and related platforms.