AI Engineer
Tasks
- Build agent runtimes and tooling in Python
- Build and maintain LLM agents for analytics
- Deploy monitor and maintain agent systems
- Design agent architectures for context handling
- Develop and run agent evaluations
- Implement usage tracking and prioritize work
- Integrate agents with APIs and internal services
- Use AI native development tools to improve delivery
Perks/Benefits
- Activity benefits
- Equipment provided
- Healthcare benefits
- Lunch benefits
- Options program
- Paid time off
- Phone Provided
- Relocation support
- Remote work option
Skills/Tech-stack
API Integration | Agent Frameworks | Context handling | Evaluation | JavaScript | LLM | LLM Agents | Language Model | Large Language Model | MCP | MLOps | Python | Software Engineering
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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