AI Agent Developer

Vertech

About The Position

The AI Agent Developer is responsible for building, deploying, and supporting AI agents and automation workflows that help teams across Vertech work more efficiently. They design and optimize prompts, tools, memory strategies, and agent workflows for business-specific use cases, and partner with stakeholders across HR, Accounting, IT, PMO, Sales, and Engineering to translate business needs into practical AI solutions. The developer curates the knowledge base that AI agents draw from, monitors agent performance, and continuously improves reliability, accuracy, and business impact.

Requirements

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.
Proficiency with Microsoft Office (Word, Excel, PowerPoint).
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.
Ability to work collaboratively across departments.

Nice To Haves

Familiarity with frameworks such as TensorFlow or PyTorch, and an understanding of Natural Language Processing (NLP) preferred.

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.
Other duties as assigned.