Agentic AI Engineer
Tasks
- Add system observability
- Build agent runtimes
- Build orchestration systems
- Coordinate multi-agent workflows
- Define developer workflows for agent behavior
- Develop production ready agent systems
- Ensure agent reliability
- Handle agent failures
- Implement debugging
- Implement memory systems
- Implement retries
- Implement tool use
- Implement tracing
- Ingest external data
- Integrate LLMs with APIs
- Manage agent state
- Optimize cost aware execution
- Optimize performance
- Perform agent evaluation
Perks/Benefits
- 401k retirement plan company match
- Flexible hours
- Flexible time off
- Monthly wellness benefit
- Paid parental leave
- Remote work set up stipend
- Yearly off-sites
Skills/Tech-stack
APIs | Airflow | Dagster | Debugging | Distributed Systems | Go | LLM Evaluation | Memory Architectures | Observability | Performance Tuning | Prompt engineering | Python | Reliability Engineering | Retrieval systems | Retry Mechanisms | Rust | State management | Temporal | Tracing | TypeScript | Vector Databases | Workflow Engines
Education
N/A
Roles
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