Key skills
DockerPostgresPythonReactSQLAIMLClaudeFastAPIS3SQSPostgreSQLREST API
About this role
Role Overview
- Design and maintain FastAPI backend services powering the data collection and delivery pipeline
- Build and iterate React interfaces for internal teams, contributors, and clients
- Architect AI-powered pipelines for quality assurance, classification, and dataset delivery
- Own end-to-end feature delivery: backend logic, database schema, frontend interface, deployment
- Ensure reliability, performance, and observability of async data processing pipelines
- Collaborate closely with ML engineers, DevOps, and the data team to integrate AI systems into production
- Set standards and best practices for AI-augmented engineering workflows
- Contribute to internal tooling that accelerates team velocity and maintains production-grade quality
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 (Cursor, Copilot, Claude) 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.
Tech Stack
- Docker
- Postgres
- Python
- React
- SQL
Benefits
- Flexible work arrangements