AI Agent Developer

Primary Duties And Responsibilities

• Build AI agents, copilots, and workflow automations for business-specific use cases.
• Design, test, and optimize prompts, tools, memory strategies, and agent workflows.
• Partner with stakeholders across HR, Accounting, IT, PMO, Sales, and Engineering to gather requirements and translate them into technical specifications.
• Curate and update the knowledge base (“knowledge scaffolding”) that AI agents use to ensure responses remain accurate and compliant with company policy.
• Refine input queries and prompts to optimize model behavior for specific business use cases.
• Troubleshoot technical issues, diagnose and resolve bugs in AI models, and resolve integration issues with existing SaaS platforms.
• Monitor agent performance and identify patterns in failure modes (e.g., unexpected tone shifts, drops in resolution quality).
• Develop testing and evaluation processes to measure agent reliability, response quality, and business impact.
• Integrate AI systems with APIs, SaaS platforms, databases, and internal business systems.
• Lead workshops and create documentation to help non-technical staff adopt new AI features effectively.
• Collaborate with vendors on solution design and technical requirements for contracted work.

Education And Experience

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field; or 4 years of related experience.
• Relevant internship, research, freelance, project, or professional experience developing AI solutions or automation workflows.
• Hands-on experience with AI tools, including agent development and support.
• Technical fluency in programming languages such as Python, SQL, or Java for diagnosing complex API or data issues.
• Experience with AI providers and LLMs such as Claude, ChatGPT, or Gemini.
• Familiarity with AI agent orchestration frameworks, workflow automation platforms (e.g., n8n, Make, Zapier), retrieval augmented generation (RAG), and vector database concepts.
• Familiarity with frameworks such as TensorFlow or PyTorch, and an understanding of Natural Language Processing (NLP) preferred.
• Proficiency with Microsoft Office (Word, Excel, PowerPoint).

Skills And Abilities

• Demonstrated curiosity and experimentation with emerging AI technologies; personal projects, GitHub repositories, hackathons, or portfolio work encouraged.
• Strong problem-solving and troubleshooting skills.
• Excellent organizational and planning skills.
• Strong verbal and written communication skills, with the ability to translate technical concepts for non-technical audiences.
• Able to work collaboratively across departments.