Tasks:
- * Build highly available and scalable AI services
- * Design and implement LLM Agent frameworks
- * Design backend architecture
- * Develop backend services for AI applications and Agent systems
- * Integrate middleware into AI services
- * Optimize AI system performance, stability, and cost
Perks/Benefits:
Skills/Tech stack required:
[Agent systems] [AI infrastructure] [AI Training] [AI training platforms] [Apache Airflow] [Distributed Systems] [Docker] [Function Calling] [Go] [Inference services] [Kafka] [Kubernetes] [Langgraph] [Language Models] [Large Language Models] [LLM Agents] [MongoDB] [Multi-Agent] [Multi-Agent Systems] [MySQL] [Plan-and-Execute] [Python] [RAG] [React] [Redis] [Temporal] [Training platforms] [TypeScript]
Educational requirements:
N/A
Role(s):
[Agent Engineer] [AI/Agent Engineer] [Backend Engineer] [Development Engineer] [Engineer] [Software Development] [Software Development Engineer]