Tasks:
- * Build AI workflows for annotation
- * Design and develop annotation platform services
- * Design and optimize high-throughput data pipelines
- * Improve system stability, scalability, and cost efficiency
- * Plan next generation platform architecture
Perks/Benefits:
- + Comprehensive documentation system
- + Structured onboarding
Skills/Tech stack required:
[Agent workflows] [Backend System Design] [Caching] [Data Processing] [Docker] [Elasticsearch] [High Throughput] [High-throughput data] [High-throughput data processing] [Kafka] [Kubernetes] [LLM integration] [Message Queues] [MongoDB] [Node.js] [NoSQL Databases] [Performance optimization] [Prompt engineering] [Python] [Redis] [Relational databases] [Retrieval-Augmented Generation] [Retrieval-Augmented Generation RAG] [System design] [TypeScript] [VLM integration]
Educational requirements:
[Bachelor's Degree]
Role(s):
[Backend Engineer] [Data Platform] [Data Platform Engineer] [Engineer] [Platform Engineer]