Job Description
Applied AI Engineer - Early-Stage, High-Ownership Role in SF
San Francisco | In-Office | Early-Stage AI Startup | Backed by Top Investors
Ready to build, break, and scale with serious velocity?
We’re hiring a Founding AI/ML Engineer to join a founder-led AI startup that’s in blitz mode - shipping fast, scaling faster, and solving real-world problems with applied AI. They’ve got early traction, strong product-market fit, and now it’s all about throughput. That’s where you come in.
What you’ll do:
- Build and ship AI-driven features and agentic systems from scratch
- Work shoulder-to-shoulder with sharp engineers and even sharper founders
- Get your hands dirty across the stack: from pipelines and infrastructure to model orchestration
- Shape not just what gets built, but how it gets built - you'll define culture as much as code
- Operate in a culture of speed, intensity, and obsession over quality
Why this role is different:
- Ownership: You’ll have autonomy from day one - this is a true builder’s role
- Real-world impact: This isn’t a research lab. You’ll ship code that gets used - fast
- Cohort culture: Join a team of insanely driven peers who don’t blink at 5am standups
- Growth: The pace is relentless, but so is the learning. You’ll level up quickly here
You might be a fit if you:
- Have 3+ years of experience in data science, ML, or AI engineering (ex-founders welcome)
- Know how to build end-to-end systems: data pipelines, ETL, infrastructure, and ML deployment
- Have worked on AI agents, LLMs, or tools in the customer service/sales space
- Thrive in early-stage chaos and want to help build a billion-dollar company from the ground up
- Have a strong technical foundation (ideally a Master’s or equivalent experience in AI/ML-heavy projects)
If you’re ready to go full-send and build with a team that’s all-in - we want to hear from you.