Full Stack AI Engineer

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Medical, Dental and Vision benefits

401k match

Generous PTO

Job summary

United States Digital Space LLC is hiring a Full Stack AI Engineer for a remote role focused on building the next generation AI-powered health technology platform. You’ll work across backend services, data pipelines, and frontend interfaces to deliver durable, scalable solutions in a small, high-impact team.

You’ll collaborate with clinical experts and engineers to surface actionable insights, improve production observability, and own the delivery from idea to production.

Qualifications

• 5+ years of experience delivering high quality code and infrastructure.
• 3+ years building large-scale distributed systems (microservices, event-driven, or data pipelines).
• 2+ years of experience with AWS or Google Cloud.
• Hands-on full-stack experience in backend (Python/Node) and frontend (React/TypeScript).
• Experience with containerization and cloud-native deployment patterns.

Responsibilities

• Translate business needs into end-to-end product experiences across the stack (backend services, data pipelines, frontend interfaces).
• Build, scale, and maintain containerized microservices and orchestration pipelines in a cloud-native setup.
• Improve observability of systems and infrastructure at scale.
• Collaborate with clinical experts and engineers to deliver scalable, accurate systems that surface actionable insights.
• Address issues quickly from alert to root cause and prevention.

Skills

5+ years exp

Distributed systems

AWS/GCP

Python

Node.js

React

TypeScript

Containerization

Cloud-native patterns

Observability

Generative AI

Ownership

Tools

Firestore

BigQuery

Airflow

Dagster

Job description

Full Stack AI Engineer Remote Opportunity

As the industry's pioneering value-based care (VBC) technology platform, the company is purpose-built to solve the most pressing real-world challenges faced by providers and health-plan organizations today. By unifying retrieval, clinical intelligence, risk adjustment, quality improvement, and member management solutions into one intelligent, AI-powered system, the company streamlines fragmented workflows to supercharge productivity, enhance care quality, and optimize performance on high-priority value-based initiatives.

About the Team:

You will be joining a small team within the company AI division, in charge of developing the next generation agentic model for clinical prospective suspecting. As a full stack software developer in our team, you will be working in the unique environment of a small team with large scale impact to enable the expansion of our product and fast growth of our users.

Responsibilities

• Apply first-principles thinking to break down hard problems and ship durable solutions.
• Understand business needs and build end-to-end product experiences across the stack - backend services, data pipelines, and frontend interfaces.
• Build, scale, and maintain infrastructure - containerized microservices, orchestration pipelines, cloud-native architecture.
• Develop and continually improve observability of systems and infrastructure at scale.
• Partner closely with clinical experts and other engineers to build highly scalable, clinically accurate systems that surface actionable insights.
• Challenge the status quo. If something is slow, fragile, or over-engineered, fix it.
• Troubleshoot, diagnose, and resolve production issues daily. Own the problem from alert to root cause to prevention.

Required Skills

• 5+ years of experience building high-quality code and infrastructure.
• 3+ years of experience working with large-scale distributed systems - microservices, event-driven architecture, or pipeline orchestration.
• 2+ years of experience with AWS or Google Cloud.
• Hands-on experience building across the stack: backend services (Python, Node, or similar) and frontend interfaces (React, TypeScript, CSS).
• Familiarity with containerization, cloud-native deployment patterns, and common architectural patterns for scalable systems.
• Strong debugging instincts - you can trace a problem through multiple services, read logs, form hypotheses, and fix things under pressure without relying on an LLM to do the thinking for you.
• Proven curiosity with the latest generative AI advances and a thoughtful perspective on where AI tools help and where they don't.
• High ownership and accountability. You treat the systems you build as yours

Nice to Have

• Experience in healthcare, clinical data, or value-based care.
• Experience with pipeline orchestration tools (Airflow, Prefect, Dagster, or similar).
• Experience with Firestore, BigQuery, or other GCP data services.

WHAT YOU'LL RECEIVE:

• Competitive salary
• Medical, Dental and Vision benefits
• 401k match
• Generous PTO plan

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

the company E-Verifies all new hires.

the company is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.