AI Platform Engineer: LLM Apps & Scalable Backend

Artos AI; San Francisco (CA); On-site; USD 171,000 - 242,000; Full time

Job summary

Artos AI in San Francisco is seeking an engineer to join their fast-paced team focused on AI/ML applications. The role involves developing and scaling a platform that supports biopharma companies in delivering life-saving treatments. Ideal candidates will have 2+ years of experience and strong backend engineering skills.

The position requires hands-on experience with LLM-based applications and a solid understanding of tools like FastAPI and cloud environments like AWS. Willingness to work in the office is required, with a competitive salary range from $171K to $242K.

Qualifications

• 2+ years of experience building and deploying AI/ML applications.
• Hands-on experience with multi-step LLM workflows.
• Strong backend experience including API development.

Responsibilities

• Accelerate the development of the Artos platform.
• Develop scalable backend systems for AI applications.
• Conduct rapid experimentation on LLM capabilities.

Skills

Software development experience

Building LLM-based applications

Backend engineering

Prompt engineering

Experience with AI tools

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Python frameworks (FastAPI, Django)

AWS, GCP, Azure

Terraform or Pulumi

Job description

Artos AI in San Francisco is seeking an engineer to join their fast-paced team focused on AI/ML applications. The role involves developing and scaling a platform that supports biopharma companies in delivering life-saving treatments. Ideal candidates will have 2+ years of experience and strong backend engineering skills.

The position requires hands-on experience with LLM-based applications and a solid understanding of tools like FastAPI and cloud environments like AWS. Willingness to work in the office is required, with a competitive salary range from $171K to $242K.