Staff Full Stack – AI Engineer
Pocket Prep
MongoDBNode.jsNoSQLPythonTypeScript
Founding AI Engineer
Pear VC
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
BigQueryCloudERPGoogle Cloud PlatformKubernetesPythonSQLTerraform
About the role
- Partner with founders to design data pipelines, build and deploy ML models, and shape product and architecture
- Own product velocity across the full ML stack: cloud infra, data pipelines, model-serving endpoints, and lightweight dashboards
- Prototype, demo to customers, iterate on feedback to ship ML features quickly
- Scale forecasting engine and data ingestion workflows with automated retraining and drift monitoring
- Design and build clean, scalable backends, APIs, and inference services
- Stand up MLOps that scales across customers
- Collaborate on architecture, product direction, hiring, and culture
- Obsess over real-world outcomes: inventory turns, margin, and cash flow
Requirements
- Prior startup experience (or serious appetite for it)
- 2+ years relevant work experience
- Fluent in Python & SQL
- Track record of shipping ML systems to production: feature engineering, training, serving, monitoring, retraining
- Deep exposure to a modern cloud ML stack (GCP: BigQuery, Vertex AI, Cloud Composer)
- Strong systems design instincts and a bias for building pragmatic, scalable solutions
- High-agency, low-ego
- Based in the Bay Area — in office 5 days/week
- Bonus: Hands-on production MLOps (drift detection, model registries, feature stores, explainability)
- Bonus: Experience with time-series and unstructured data for forecasting/optimization
- Bonus: Terraform & Kubernetes experience
- Bonus: Mentoring early hires and contributing to culture
- Bonus: Passion for supply chain, logistics, or the physical economy
