Applied AI Engineer
Tasks
- Build shared AI platform capabilities
- Collaborate with product, infrastructure, and data teams
- Create reusable tooling for model access and operation
- Deploy and govern machine learning models in production
- Develop LLM proxy server and platform APIs
- Enhance AI performance reliability safety cost
- Evaluate emerging AI tools models and patterns
- Implement observability monitoring evaluation
- Improve LLM Ops and ML Ops workflows
Perks/Benefits
Skills/Tech-stack
API Development | Backend Development | Cloud Computing | Cost Optimization | Generative AI | Governance | LLM | LLM-Ops | Latency optimization | ML Ops | Machine Learning | Model Deployment | Model Evaluation | Monitoring | Observability | Performance optimization | Production Systems | Python | Reliability Engineering | Security | TypeScript
Education
N/A
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