Full-Stack Engineer, AI Data Platform
Tasks
- Build RLHF and preference data workflows
- Build end-to-end product features
- Build production data pipelines and infrastructure
- Create dataset versioning systems
- Design AI evaluation frameworks
- Design frontend user interfaces
- Develop backend APIs and services
- Implement data models and schemas
- Integrate LLMs into review workflows
- Participate in on-call rotations
- Support human in the loop AI training
- Write technical documentation and improve engineering practices
Perks/Benefits
Skills/Tech-stack
AWS DynamoDB | Cassandra | Cloud platform | GCS | Google Cloud | Google Cloud Platform | Google Spanner | GraphQL | Java | Kafka | Kotlin | Kubernetes | LLM | Machine Learning | MongoDB | MySQL | Node.js | PostgreSQL | PubSub | Python | RLHF | React | Redux | TypeScript
Education
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer
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