Senior AI Engineer
Tasks
- Build RAG pipelines
- Build distributed agentic AI solutions
- Debug scaled LLM systems and support incident response
- Define architectural decisions and technical standards
- Develop evaluation pipelines with human in the loop
- Integrate AI capabilities into products and data pipelines
- Manage model lifecycle monitoring and evaluation
- Mitigate AI system risks
- Monitor cost quality drift alignment
- Operate AI systems with observability
- Own subsystems from design to deployment
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Alerting | Drift Detection | Embeddings | Evaluation | Function Calling | Guardrails | Incident Response | LLMs | Langchain | Langgraph | Memory | Monitoring | Observability | Python | RAG | Reranking | Retrieval | State machines | Structured outputs | Tool use | TypeScript | Vector Databases
Education
Roles
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