Applied AI Engineer

About the Role

This role is part of the Jobright TNT - a private hiring network connecting top talent with leading AI startups. This is not a mass job posting; only select, high-signal candidates are invited and recommended directly to hiring teams. The hiring company, Qualified Health, is a healthcare-native, enterprise AI platform that helps health systems deploy safe and scalable AI.

Role Responsibilities

• Develop and deploy agentic workflows and automation pipelines (approx. 60% of role)
• Build and maintain production-ready services, REST APIs, and integrations (approx. 30%)
• Ship production solutions in days, not months, emphasizing scrappiness and speed
• Collaborate across product, engineering, and design to deliver end-to-end AI-powered features
• Evaluate and integrate state-of-the-art LLMs (OpenAI, Anthropic, Mistral, etc.) into production use cases
• Contribute to building a scalable workflow infrastructure that will support 100+ workflows

Qualifications

Required

• Strong software engineering foundation (Python required; solid coding practices)
• Experience building AI-powered applications in the past 1–2 years using ChatGPT, Claude, Anthropic, or Mistral
• Hands-on experience with REST API development and deploying services into cloud environments (GCP preferred)
• Clear understanding of MLOps, model deployment, or workflow automation in production systems

Preferred

• Bachelor's degree + 4 years OR Master's degree + 2 years in Computer Science, Engineering, or related field
• Background in software engineering → ML path
• Experience with agentic workflows or adjacent skills such as prompt tuning, eval pipelines, or automation frameworks
• Startup experience: demonstrated scrappiness, speed, and bias toward shipping
• Exposure to both startup agility and big tech engineering rigor is ideal
• Strong communication skills and ability to collaborate in fast-paced, ambiguous environments