Staff AI Engineer
Tasks
- Build RAG pipelines with retrieval and embeddings
- Build and evolve scalable ML platforms pipelines and infrastructure
- Define engineering standards for AI systems
- Design and integrate APIs with internal and third party services
- Drive cost optimization for model usage including caching routing quantization
- Implement responsible AI practices including safety security and reliability
- Lead AI ML system design and implementation end to end
- Lead design reviews and technical discussions
- Lead model development optimization and deployment
- Mentor junior and mid level engineers through coaching code reviews and pairing
- Optimize LLM application evaluation and observability
- Own AI architecture decisions
- Partner with product and engineering to shape AI strategy
- Solve integration problems across research and production
- Translate AI tradeoffs risks and opportunities into decision narratives
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Agentic AI | Amazon Bedrock | Artificial Intelligence | Caching | Docker | Embeddings | Evaluation Frameworks | Generative AI | Injection Defense | Kubernetes | LLM Observability | Language Processing | Machine Learning | Model routing | Natural Language | Natural Language Processing | PII handling | Prompt engineering | Prompt injection | Prompt injection defense | Python | Quantization | RAG | Retrieval-Augmented Generation | Token Economics | Vector Databases
Education
N/A
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