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Summary
About the Role
About You
- Strong backend and cloud engineering skills and experience building developer-facing libraries, APIs, or tools.
- Experience building ML infrastructure or tooling for training, tuning, and inference workflows.
- Proficiency in Python and cloud infrastructure.
- Comfortable working with systems like Sagemaker, Vertex AI, Kubernetes, Ray, or similar distributed compute environments.
- Familiarity with hybrid deployment models (SaaS + on-prem), SOC 2/ISO 27001 workflows, or vLLM/NVidia Triton integration.
Benefits
- Competitive salary and equity options.
- Flexible working hours and remote work opportunities.
- Health, dental, and vision insurance.
Virtue AI bridges the gap between AI product development and deployment for enterprises. We offer comprehensive, end-to-end AI safety and security solutions to ensure the safe, secure, and privacy-preserving deployment of AI products. Our advanced platform provides rigorous testing, alignment, and moderation across the AI lifecycle, proactively mitigating risks such as cybersecurity vulnerabilities, safety threats, and hallucination issues. Overall, Virtue AI deploys a rigorous testing framework for any AI model or system, offering actionable steps to mitigate potential risks. Our assessments empower enterprises to confidently leverage the power of AI while optimizing their systems and maintaining compliance. By combining expertise in machine learning, security, safety, law, and sociology, we bridge the gap between AI development and secure deployment, setting new standards for secure and responsible AI practices across industries. Our mission is to empower enterprises with innovative solutions that ensure responsible AI development and deployment. By continuously pushing the boundaries of AI safety research and sharing our findings, we contribute to elevating the AI safety community and creating a safer digital future.