Founding Full Stack AI Engineer at an early-stage startup building a distributed AI data infrastructure platform. The company provides real-world training data to AI companies through a global network of contributors. The startup owns the full end-to-end pipeline: collection, automated processing, human-in-the-loop QA, and delivery to top-tier AI labs and technology companies.
Requirements
- 3+ years of professional full stack engineering experience in production environments
- Strong Python skills and hands-on experience building production APIs with FastAPI
- Solid React experience, shipping real products to real users
- Deep command of SQL, including query optimization, indexing, partitioning, and connection pooling
- Hands-on PostgreSQL experience at scale
- Experience with background task processing systems (Celery, RQ, SQS, or equivalent)
- Familiarity with S3-compatible object storage, Docker, and REST API design principles
- AI-native development workflow — you use AI tools daily, know how to prompt, iterate, verify, and catch errors
- Experience building AI-integrated systems, pipelines, and production features for model training
- Ownership mindset — you ship fast, iterate, and care about code quality
Benefits
- Flexible work arrangements
- Opportunity to work on a high-growth startup
- Collaborative and fast-moving team
- End-to-end feature delivery and ownership mindset
- High-impact decisions that define the trajectory of the company