Build AI that matters
at AI Brigade
We don't do demos. We ship production AI to hospitals and financial institutions used by millions. Come do the most meaningful work of your career.
250+
Engineers
Remote-First
US-Wide
Top-1%
Comp & Equity
3 Days
Max Response
$200
Paid Take-Home
What We Offer
Grow with AI Brigade
Paid Internships
Earn while you learn on real production systems alongside senior engineers.
Mentorship & Training
Dedicated mentors and structured learning paths from day one.
Career Growth
Clear levelling frameworks with fast-track opportunities for high performers.
Professional Environment
A culture of craft, accountability, and deep technical excellence.
Why AI Brigade
Benefits built for exceptional people
Top-of-Market Comp
90th-percentile salaries + meaningful equity from day one.
Remote-First
Work from anywhere in the US. Async by default.
100% Benefits
Medical, dental, vision — 100% covered for you and family.
$3K Learning Stipend
Courses, conferences, compute credits — annually.
Real Impact
Your code ships to Fortune 500 clients in weeks, not quarters.
401k + 4% Match
Vesting from day one. We invest in your future.
Hiring Process
Transparent.
No black holes.
We believe your time is valuable. Every applicant gets a response. Every take-home is compensated. Decisions happen fast.
“Best interview process I've been through. Response same day, no trick questions, full comp transparency upfront.”
— Senior ML Engineer, hired 2024
We read every application. You hear back within 3 business days.
30-minute call on role fit, comp, and timeline. No pressure.
Focused take-home or live session. We pay $200 for take-home work.
3 conversations: technical depth, collaboration, values. Zero gotchas.
Decision within 48 hours. Full comp + equity breakdown. No surprises.
42 open roles across 5 disciplines
Filter by team, search by skill or level, then click any role to read the full description and apply in minutes.
Page 1 of 5
Senior ML Infrastructure Engineer
$175K – $220KBackend Engineer — AI Platform
$155K – $195KFull-Stack Engineer — Enterprise Dashboards
$140K – $175KData Engineer — Healthcare Analytics
$160K – $200KSecurity Engineer — AI Systems
$170K – $210KiOS / Android Engineer
$135K – $165KPlatform Engineer / DevOps
$145K – $185KEmbedded AI Engineer
$165K – $205KSenior QA Engineer — AI/ML
$130K – $165KShowing 1–9 of 42 roles
Senior ML Infrastructure Engineer
Overview
Design and scale the MLOps pipelines that push 50+ production models to enterprise clients. You own model serving, feature stores, and drift-monitoring infrastructure.
What You'll Do
- Architect and maintain model serving infrastructure handling millions of daily predictions
- Build and operate feature stores, training pipelines, and experiment tracking systems
- Lead drift monitoring, retraining triggers, and model performance alerting
- Partner with ML scientists to accelerate path from research to production
- Define MLOps standards and best practices across client engagements
Requirements
- 5+ years backend/infrastructure engineering; 2+ years in ML systems
- Expert with Kubernetes, Docker, and major cloud platforms (AWS/GCP/Azure)
- Production experience with MLflow, Ray Serve, or similar serving frameworks
- Strong Python; familiarity with Go or Rust is a plus
- Experience supporting regulated-industry workloads (HIPAA, SOC 2) preferred
Tech Stack
We hire for talent,
not just openings
Exceptional people always have a home here. If you raise our bar, we'll create the right role for you. Reach out directly.
“Best interview process I've been through. Response same day, full comp transparency upfront.”
Senior ML Engineer
Hired 2024
“They created a role specifically for my background in clinical AI. I've never seen a company do that.”
Healthcare AI Researcher
Hired 2024
“Shipped code that went to production at a major hospital system within my first 30 days.”
Backend Engineer
Hired 2023