Applied AI Engineer
Tasks
- Build LLM and ML deployment workflows
- Build LLM routing and proxy services
- Collaborate on AI development practices with data and infrastructure teams
- Create reusable AI ML tooling
- Design AI systems for performance cost safety latency
- Develop internal APIs
- Ensure production reliability for AI systems
- Evaluate and integrate emerging AI models into shared platform capabilities
- Implement LLM and 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 friendly culture
- Unlimited paid time off
Skills/Tech-stack
API Development | 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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