Staff AI Engineer
Tasks
- Apply prompt injection defenses and PII handling
- Build RAG pipelines with retrieval and chunking
- Build scalable model development and deployment processes
- Define AI architecture and responsible AI practices
- Define AI engineering standards
- Deploy containerized services using Docker and Kubernetes
- Design and integrate APIs with internal and third party services
- Develop and optimize ML platforms pipelines and infrastructure
- Drive ambiguous high stakes work to production with reliability cost and safety
- Implement evaluation frameworks and observability for LLM apps
- Lead design and implement complex ML AI systems end to end
- Lead design reviews and technical discussions
- Mentor junior and mid level engineers through coaching and code reviews
- Optimize LLM costs with token economics caching and routing
- Own AI architecture decisions
- Partner with product and engineering to shape AI strategy
- Translate AI tradeoffs risks and opportunities into clear narratives
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | API Design | AWS | Caching | Data Pipelines | Docker | Embeddings | Generative AI | Injection Defense | Kubernetes | LLM Evaluation | ML Platforms | Machine Learning | Model routing | Observability | PII handling | Prompt injection | Prompt injection defense | Python | Quantization | RAG | Responsible AI | Token Economics | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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