Tasks:
- * Build enterprise knowledge graphs
- * Build reliable AI agent systems
- * Build sandboxed file systems and code execution
- * Collaborate with machine learning engineers
- * Contribute to engineering roadmaps
- * Develop agent memory and self reflection
- * Develop agent orchestration
- * Develop multimodal input and output
- * Implement AI algorithms and architectures
- * Improve AI products and user experiences
- * Mentor software engineers
- * Optimize agent latency
- * Productionize AI systems at scale
- * Simulate agent execution environments
- * Write robust readable performant code
Perks/Benefits:
- + Flexible work arrangements
- + Office work option
- + Remote work option
Skills/Tech stack required:
[Agent memory] [Agent Orchestration] [AI Agents] [Code Execution] [Enterprise knowledge] [Enterprise knowledge graphs] [Environment simulation] [Execution Environment] [Execution Environment Simulation] [Golang] [Java] [Knowledge graphs] [Language Models] [Large Language Models] [Latency optimization] [LLM Self Reflection] [Machine Learning] [Multimodal AI] [Production Systems] [Python] [Sandboxed code execution] [Scalable infrastructure] [Self-reflection]
Educational requirements:
N/A
Role(s):
[AI Engineer] [Engineer] [Senior Staff Software Engineer] [Software Engineer] [Staff Software Engineer]