Staff AI Engineer
Tasks
- Build RAG pipelines chunking embedding and retrieval
- Build scalable ML platforms pipelines and infrastructure
- Define AI engineering standards
- Deliver ambiguous high stakes work to production
- Design and integrate APIs with internal and third party services
- Develop and optimize machine learning models
- Drive AI strategy alignment with business outcomes
- Establish responsible AI practices
- Implement AI safety measures
- Implement reliable repeatable model deployment
- Lead design of AI systems end to end
- Lead design reviews and technical discussions
- Mentor engineers through coaching code reviews and pairing
- Optimize LLM costs with token economics and caching
- Own AI architecture decisions
- Route models and apply quantization
- Translate AI tradeoffs risks and opportunities
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Artificial Intelligence | Caching | Docker | Embeddings | Evaluation | GenAI | Kubernetes | LLM | Machine Learning | Model Orchestration | Model routing | Observability | PII | Prompt injection | Python | Quantization | RAG | Token Economics | Vector Databases
Education
N/A
Roles
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