AI Engineer

Reference: PE -LM-1
Role:
An AI automation engineer's responsibility may include some or all of the following: Building AI-powered
tools using prompt engineering and automated evaluations: Prompt engineering involves fine-tuning what
you input into an AI system to get the best results for your specific use case.
 
An AI engineer with automation specializes in integrating AI models (like GPT or computer vision) into existing business processes to automate complex, repetitive tasks. They build, test, and deploy automated workflows using tools like Python, APIs, and RPA platforms to enhance efficiency, reduce human error, and streamline data workflows.
 
Workflow Automation: Design and implement AI-driven automated workflows (e.g., automated
document processing, intelligent chatbots, customer service automation).
System Integration: Connect disparate platforms (e.g., Slack, Stripe, HubSpot, CRMs) using APIs and
webhooks.
AI Model Development: De...