Staff AI Engineer
Tasks
- Build RAG pipelines
- Build scalable ML platforms pipelines and infrastructure
- Define AI architecture and engineering standards
- Deploy ML applications using Docker and Kubernetes
- Design agentic systems for production
- Design and integrate APIs for internal and third party services
- Develop LLM evaluation and observability capabilities
- Develop and optimize models for production
- Implement prompt injection defenses and PII handling
- Integrate AI systems solving reliability security scalability issues
- Lead design of AI ML systems end to end
- Mentor engineers through coaching code reviews and pairing
- Optimize AI costs using token economics caching and model routing
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | AI architecture | API Design | AWS | AWS GenAI | Agentic Systems | Amazon Web Services | Caching | Deep learning | Docker | Embeddings | Evaluation Frameworks | Generative AI | Injection Defense | Kubernetes | LLM orchestration | Language Models | Large Language Models | Machine Learning | Model Optimization | Model routing | Observability | PII handling | Prompt injection | Prompt injection defense | Python | Quantization | RAG | Responsible AI | Retrieval-Augmented Generation | Token Economics | Vector Databases | Vector Search | Web Services
Education
N/A
Roles
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