cover image
Virtue AI

Virtue AI

www.virtueai.com

1 Job

24 Employees

About the Company

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.

Listed Jobs

Company background Company brand
Company Name
Virtue AI
Job Title
Software Engineer (All Levels)
Job Description
Job Title: Software Engineer (All Levels) Role Summary: Design and implement scalable, secure distributed services and APIs that support AI security products, including inference, guardrails, and red‑team tools, across SaaS and on‑prem environments. Expectations: Deliver reliable, high‑throughput systems that meet enterprise SLOs; collaborate with ML, security, and product teams; maintain clean abstractions, robust observability, and automated deployment pipelines. Key Responsibilities: - Design, develop, and maintain scalable APIs and services for red‑team, guardrail, and agent‑safety products. - Build multi‑tenant data pipelines and storage layers for real‑time evaluation and analytics. - Create deployment abstractions for SaaS, customer Kubernetes clusters, and hybrid cloud. - Integrate inference services (vLLM, Triton, Ray) into production‑grade systems. - Implement observability, performance tooling, and meet enterprise SLOs. - Contribute to CI/CD, containerization (Docker, Helm), and infrastructure automation (Terraform). - Participate in design reviews, code reviews, and documentation for maintainability. Required Skills: - Strong programming in Python, Go, or similar. - Deep knowledge of distributed systems, concurrency, and service‑oriented architecture. - Experience with SQL/NoSQL databases (Postgres, Redis, MongoDB). - Proficient with Docker, Kubernetes, and container orchestration. - Familiarity with GCP, AWS, or Azure and IaC (Terraform). - Ability to work in fast‑paced, security‑focused environments. Bonus: - Experience building SaaS or enterprise software with on‑prem deployment. - Integration of ML inference frameworks or GPU backends. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
San francisco, United states
On site
23-09-2025