AI Engineer
- Build LLM-powered agents
- Build custom MCP servers
- Build evaluation frameworks and test sets
- Create integrations using REST APIs
- Deploy and monitor agents in production
- Design backend services for internal teams
- Develop automation pipelines
- Gather feedback and iterate on internal AI systems
- Harden and maintain MCP gateway ecosystem
- Implement authentication and secrets management
- Improve reliability and error handling
- Measure accuracy precision recall hallucination rates
- Partner with AI product manager on workflows
- Troubleshoot failures across integrations models APIs
Perks/Benefits:
- Dinners provided
- Dog-friendly office
- Fully stocked kitchen
- Global teams
- Happy hours
- Holiday gifts
- Monthly lunch budget
- Pilates classes
- Team retreats