Lead / Staff Engineer, AI Agent Platform
Tasks
- Build automated evaluation loops
- Build middleware pipelines
- Build sandbox isolation environments
- Compress long histories into working memory
- Conduct code reviews
- Create dynamic capability views
- Create file workflow pipelines
- Design agent loop execution engine
- Design context engineering and input standardization
- Design routing and budget structured degradation
- Develop multi tier memory store and retrieval
- Develop skills engine
- Enable failure self healing
- Ensure multi tenant isolation security and observability
- Implement MCP hub
- Implement checkpointing and recovery
- Lead agent infrastructure architecture
- Manage permissions and cost governance
- Normalize tool outputs into traceable evidence
- Orchestrate planning and subagents
- Write hands on code for core modules
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Asynchronous Concurrency | Budget Governance | Checkpointing | Context Assembly | Cost governance | Docker | Input Standardization | Kubernetes | LLM | Memory Store | Model Context Protocol | Model routing | Multi-model | Multi-model routing | Multi-tenant | Multi-tenant Isolation | Observability | Permission Management | Python | Retrieval | Security | State Recovery | Streaming | Tenant Isolation | Tool Lifecycle
Education
N/A
Roles
AI | AI Software Engineer | Engineer | Lead | Lead Engineer | Software Engineer | Staff Engineer
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