Applied AI Engineer

Qualified Health PBC; Palo Alto (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

Qualified Health PBC in Palo Alto is seeking an Applied AI Engineer to develop and scale real-world AI workflows. This role involves deploying applications and collaborating closely with product and engineering teams.

Ideal candidates have a strong software engineering background, experience with AI applications, and a focus on building production-ready services. The position offers competitive pay within the range of $180,000 to $250,000 along with equity and benefits.

Qualifications

• Strong software engineering foundation with solid coding practices.
• Experience building AI-powered applications using ChatGPT or similar.
• Hands-on experience with REST API development in cloud environments.

Responsibilities

• Develop and deploy agentic workflows and automation pipelines.
• Build and maintain production-ready services and integrations.
• Collaborate to deliver end-to-end AI-powered features.

Skills

Software engineering foundation

Experience building AI-powered applications

REST API development

Understanding of MLOps

Strong communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Python

GCP

Job description

Transform healthcare with us.

Job Summary:

We’re hiring an Applied AI Engineer to focus on building and scaling real-world AI workflows. This role is designed for engineers who are hands‑on with deploying generative AI applications. You’ll spend the majority of your time developing agentic workflows and production‑grade integrations across multiple of our product lines.

You’ll work closely with product and engineering teammates to design, deploy, and scale AI‑powered applications that solve real problems in healthcare.

Key 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.

Required Qualifications:

• 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.

Desirable Skills:

• 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.

Pay & Benefits:

The pay range for this role is between $180,000 and $250,000, depending on skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Commitment to Diversity:

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.