Backend Software Engineer

Artos AI; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Artos AI in San Francisco is seeking an engineer to join their rapidly growing team. You will develop and maintain scalable backend systems, focusing on AI/ML applications and building APIs using modern Python frameworks like FastAPI or Django.

The role requires hands-on experience with containerized apps and cloud infrastructure, notably AWS. Collaboration with various teams is essential, as is a willingness to work in-person 4-5 days a week in Mission Bay.

Qualifications

• 3+ years in software development with a focus on AI/ML applications.
• Hands‑on experience with GenAI applications: prompt engineering, RAG.
• Experience building CI/CD pipelines for production backend systems.

Responsibilities

• Design, build, and maintain scalable backend systems in production.
• Implement CI/CD pipelines and debug production systems.
• Collaborate across teams such as product and medical writers.

Skills

Software development

AI/ML applications

Prompt engineering

Building APIs

Cloud environments (AWS)

Education

BS/MS in Computer Science, Engineering, or related field

Tools

FastAPI

Django

Terraform

Docker

Job description

At Artos, we build tools that help biopharma companies create and manage their R&D documentation in a fraction of the time. If you’re looking to join a team whose mission is to fundamentally change the way that drug development gets done, we’d love to talk to you.

About the Role

We’re growing fast, and we’re looking for an engineer who thrives in a high-velocity environment and wants to do meaningful work. At Artos, you’ll help accelerate the development of a platform that supports companies, from innovative biotech startups to the world’s largest pharmaceutical firms, in delivering life‑saving treatments to patients faster than ever before.

As a core member of Artos’s engineering team, you’ll play a critical role in developing, scaling, and expanding the Artos platform to serve regulatory needs for pharma and life science companies around the globe.

Qualifications

• BS/MS in Computer Science, Engineering, or related field (or equivalent experience)
• 3+ years in software development with a focus on AI/ML applications
• Hands‑on experience with GenAI applications: prompt engineering, RAG, data pipelines, and eval frameworks
• Experience building APIs with modern Python frameworks (FastAPI, Django, etc.)
• Experience deploying and scaling containerized apps in cloud environments (AWS preferred)
• Experience building CI/CD pipelines for production backend systems
• Familiarity with secure coding practices, ideally from a regulated industry (fintech, life sciences)
• Pluses: IaC (Terraform/Pulumi), React, knowledge of life sciences regulatory requirements

Requirements

• Design, build, and maintain scalable backend systems in production
• Build APIs and services using Python frameworks (FastAPI, Django, etc.)
• Work with containerized apps and cloud infrastructure (Docker, AWS, Terraform)
• Implement CI/CD pipelines and debug production systems
• Rapidly apply LLM techniques: prompt engineering, fine‑tuning, RAG
• Stay current with generative AI best practices and apply them pragmatically
• Communicate technical decisions clearly to both technical and non‑technical audiences
• Collaborate across teams (product, medical writers, customer success)
• Navigate ambiguous requirements and execute independently

Other Information

Very comfortable working in a fast‑paced and intense startup environment

Willing to work in‑person in our office in Mission Bay 4-5 days/week