Staff AI Engineer
Tasks
- Build evaluation and observability for LLM apps
- Build scalable ML platforms and pipelines
- Define AI engineering standards
- Deploy and maintain models in production
- Design APIs for internal and third party services
- Develop model optimization strategies
- Drive AI integration with reliability security and scalability
- Implement RAG pipelines and retrieval techniques
- Lead design of ML AI systems end to end
- Lead design reviews and technical discussions
- Mentor engineers through coaching and code reviews
- Optimize AI system cost and performance
- Own AI architecture decisions
- Set responsible AI practices
- Translate AI tradeoffs and risks for stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Artificial Intelligence | Caching | Docker | Embeddings | Evaluation | Generative AI | Injection prevention | Kubernetes | LLM | LLM orchestration | Machine Learning | Model routing | Observability | PII handling | Prompt injection | Prompt injection prevention | Python | Quantization | RAG | Retrieval | Token Economics | Vector Databases
Education
N/A
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