Applied AI Engineer
Tasks
- Automate deployment workflows
- Build LLM routing proxy systems
- Create reusable AI ML tooling
- Design AI infrastructure for performance cost safety latency
- Develop internal APIs
- Implement LLM and ML observability
- Integrate emerging AI models frameworks tools
- Set up model evaluation workflows
- Test scale optimize production reliability
Perks/Benefits
- Dental insurance
- Equipment support
- Health insurance
- Home office stipend
- Hybrid friendly
- Learning budget
- Mental health resources
- Parental leave
- Remote-first culture
- Unlimited paid time off
- Vision insurance
Skills/Tech-stack
API Development | Artificial Intelligence | Backend Development | Deployment Automation | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Monitoring | Observability | Python | TypeScript
Education
N/A
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