Principal AI Engineer (Prisma Browser - Agents Fleets)
Tasks
- Build production grade autonomous agents
- Conduct deep dive analyses of raw agent transcripts
- Design and implement automated evaluation loops
- Design memory systems session storage and vector databases
- Diagnose non deterministic agent failures
- Implement static analysis and quality gates
- Lead complex initiatives in context engineering and prompt engineering
- Manage and orchestrate autonomous agent ecosystem
- Optimize token costs caching and context windows
- Own operational reliability observability and platform engineering systems
- Use traces and observability tooling to diagnose and improve agent behavior
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Autonomous Agents | Caching | Context engineering | Debugging | JavaScript | LLM APIs | Language Models | Large Language Models | Machine Learning | Memory systems | Observability | Prompt engineering | Python | Quality gates | Session storage | Static Analysis | Tokenization | Tracing | Vector Databases | Vector similarity
Education
Roles
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