Applied AI Engineer
Tasks
- Build AI agents and automations end to end
- Build evaluation harnesses with automated regression detection
- Communicate status with technical and non technical stakeholders
- Connect AI tools to external systems via APIs
- Create reusable components patterns and documentation
- Implement authentication rate limit handling and logging
- Integrate LLM APIs into production workflows
- Manage human reinforcement feedback loops
- Monitor deployed agents and track quality metrics
- Triage production failures and ship improvements
Perks/Benefits
Skills/Tech-stack
AI Agent | AI Agent Development | API Integration | Agent Development | Authentication | Evaluation harnesses | HubSpot | Human Reinforcement Learning | Jira | LLM APIs | Logging | Monitoring | Prompt engineering | Python | Rate Limiting | Regression testing | Reinforcement Learning | Slack | Snowflake | Token Management
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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