Full-Stack AI Engineer for Clinical Diagnostics Platform

PetsApp; Palo Alto, Northern (CA, KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Valar Labs is a fast-growing AI diagnostics startup redefining oncology and urology with AI-powered diagnostics. Software Engineers build and run products that bring clinical-grade AI to oncologists worldwide, and support the agentic systems behind them.

Key responsibilities include building agentic pipelines, designing safe evals, creating clinician-facing portals, and optimizing production environments to serve thousands of patients, all within a HIPAA-compliant workflow.

Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience.
• Strong full stack fundamentals in JavaScript, React and Node.
• Experience with Docker, AWS and production deployments.
• Daily fluency with agentic coding tools such as Claude Code and Codex, and judgment about where they help.
• 2+ years of software engineering experience; exceptional new grads welcome.
• (Optional) Experience building LLM powered products or working in healthcare.

Responsibilities

• Build agentic AI pipelines that automate clinical and operational workflows
• Design the evals and guardrails that make agent driven work trustworthy in a clinical setting
• Build our clinician facing portal used daily by oncologists, pathologists and care teams
• Develop and optimize production environments running AI models to serve thousands of patients
• Ship full stack features in a fast-paced daily cadence from prototype to production in a HIPAA environment

Skills

JavaScript

React

Node.js

Docker

AWS

Claude Code

Codex

Education

Bachelor’s degree in Computer Science or equivalent practical experience

Tools

Docker

AWS

Job description

Valar Labs is a fast-growing AI diagnostics startup redefining oncology and urology with AI-powered diagnostics. Software Engineers build and run products that bring clinical-grade AI to oncologists worldwide, and support the agentic systems behind them.

Key responsibilities include building agentic pipelines, designing safe evals, creating clinician-facing portals, and optimizing production environments to serve thousands of patients, all within a HIPAA-compliant workflow.