Applied AI Engineer
Tasks
- Build LLM routing proxy systems
- Build deployment workflows
- Collaborate with product, infrastructure, and data teams
- Create reusable AI ML tooling
- Design AI services for performance cost safety latency
- Develop internal APIs
- Ensure production reliability for AI systems
- Evaluate and integrate emerging AI models frameworks tools
- Implement LLM ML observability monitoring evaluation
- Support AI system testing scaling optimization
Perks/Benefits
- Equipment support
- Healthcare coverage
- Home office stipend
- Learning and development budget
- Mental health and wellness resources
- Parental leave
- Remote first or hybrid work culture
- Unlimited paid time off
Skills/Tech-stack
AI Model Integration | AI model | API Development | Deployment | LLM | LLMOps | MLOps | Machine Learning | Model Evaluation | Model Integration | Monitoring | Observability | Python | TypeScript
Education
N/A
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