Lead AI Analytics Engineer, Trust & Safety
Tasks
- Architect AI data infrastructure
- Build and optimize data ingestion pipelines
- Build secure deployment guardrails
- Create restricted API wrappers
- Deploy and maintain multi agent systems
- Deploy and orchestrate LLMs
- Generate embeddings and parse unstructured data
- Implement automated blast radius controls
- Improve token cost efficiency
- Optimize system reliability and latency
- Orchestrate multi-agent workflows
- Translate trust and safety knowledge into machine readable formats
Perks/Benefits
- Birthday leave
- Flexwork arrangements
- GrabFlex Benefits Package
- Life Assistance Programme
- Medical insurance
- Parental leave
- Term life insurance
- Volunteering leave
Skills/Tech-stack
API Security | Asyncio | Backend system architecture | Cost Optimization | Data Engineering | Data Pipelines | Data Processing | ETL | Embeddings | LLM orchestration | Langchain | Langgraph | Langsmith | Machine Learning | Model Context Protocol | Python | Secure APIs | System Architecture | Token Cost | Token Cost Optimization | Unstructured Data | Unstructured Data Processing | Vector Databases
Education
Roles
AI | AI Analytics Engineer | Analytics Engineer | Data Engineer | Engineer
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