Software Engineer, Applied AI

DevExplore; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

DevExplore in San Francisco is hiring an engineer to build the AI agents that run doctors' offices. You will work across the full stack: agent architectures, data pipelines, evals, and the infrastructure that makes it all reliable.

These are production systems handling real patient data for thousands of practices. You will focus on reliability and correctness, crafting tooling that makes engineering faster and safer while enabling scalable, trustworthy AI for healthcare workflows.

Qualifications

• Proven interest in building reliable AI-driven software for production use.
• Experience designing and maintaining data pipelines and APIs.
• Focus on correctness and robustness beyond just feature delivery.
• Comfort working across databases, caches, proxies, and job orchestration systems.
• Ability to reason about system reliability in real-world workloads.
• Familiarity with large-scale data processing workflows is a plus.

Responsibilities

• Build AI agents that run doctors' offices and handle real-world workflows.
• Own the full stack: agent architectures, data pipelines, evals, and infrastructure.
• Diagnose live production incidents with minimal disruption and automate repetitive work.
• Collaborate with team to ensure scalable, reliable systems that process real patient data.

Skills

Frontend & Backend

Reliability engineering

Data pipelines

Job description

Our Mission

Our mission is to help small businesses run themselves. We’re starting with doctors’ offices, building autonomous systems that handle busywork and complete the workflows that keep the office moving every day. Our team is small, flat, and ambitious. We value craft, intellectual rigor, and direct communication.

About The Role

We're hiring an engineer to build the AI agents that run doctor's offices.

These are production systems handling real money and real patient data for thousands of practices. You'll work across the full stack: agent architectures, data pipelines, evals, and the infrastructure that makes it all reliable.

What We're Looking For

• Are excited to work with frontier models
• Engineer for reliability and correctness, not just functionality
• Diagnose and resolve live production incidents with minimal disruption
• Automate away repetitive work and build tooling that makes engineering faster and safer
• Design schemas and pipelines for large-scale datasets to power applied AI
• Are comfortable working across databases, caches, proxies, and job orchestration systems

Some Things We've Built

• Data pipelines processing $1B+ in insurance claims
• Systems that eliminate thousands of hours of paperwork every month
• A sync engine backed by encrypted SQLite in the browser, enabling 100ms experiences for healthcare payments and patient ledgers

Technology We Use

We invest heavily in productivity. Engineers should have the best tools for the job and the freedom to choose them.

• Backend & Data: Python (Django, Pydantic AI), Postgres, Redis
• Frontend: TypeScript, React, Tailwind
• Infrastructure: Google Cloud Platform (GCP), Vercel
• Workflow & Tools: Linear, Slack, Notion

Joining Us

To start, you'll have a handful of conversations with our team and founders. If there is mutual excitement, we'll invite you to the office where you'll work on a small project and meet the team.