AI Engineer - Responsible AI
Tasks
- Analyze human-AI interaction vulnerabilities
- Architect distributed safety evaluation pipelines
- Build ETL pipelines for safety data
- Build streaming safety telemetry data infrastructure
- Create automated LLM safety evaluation protocols
- Create data lakes and feature stores
- Deploy jailbreak defense services
- Deploy safety models using containerized microservices
- Design LLM jailbreak attacks and defenses
- Develop multi agent safety workflows
- Implement CI CD pipelines for model updates
- Implement context aware attack detection and guardrails
- Manage model versioning and A/B testing
- Operate automated LLM red teaming platform
Perks/Benefits
Skills/Tech-stack
AI interaction | AWS | Adversarial ML | Airflow | ArgoCD | Azure | BigQuery | CI/CD | DBT | Dask | Data Engineering | Data Lake | Data Warehousing | Datadog | Docker | ETL | Feature Store | Flink | GCP | Grafana | Human-AI Interaction | Inference Server | Infrastructure as Code | JAX | Kafka | Kubernetes | LLM | MLflow | Observability | PagerDuty | PostgreSQL | Prometheus | Prompt injection | Pulumi | PyTorch | PyTorch JAX | Python | Ray | Redis | Snowflake | Spark | TensorRT | Terraform | Triton Inference | Triton Inference Server | VLLM | Weights and Biases | “as-code”
Education
Roles
AI | AI Engineer | Engineer
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