Senior AI Safety & Privacy Engineer

Jobgether; Canada; Remote; CAD 176,000 - 224,000; Full time

Benefits offered by this job

Remote work from Canada

Flexible hours

Open-source contributions

Global collaboration

Job summary

Jobgether is seeking a Senior Software Engineer – AI Oversight to join a fully remote, global team based in Canada. You will design and build infrastructure to enable private, privacy-preserving evaluations of frontier AI models using Python, with a focus on security, scalability, and reliability.

You will contribute to open-source projects like PySyft and collaborate with external partners to deploy solutions across diverse environments.

Qualifications

• At least 5 years of professional software engineering experience, with strong hands-on proficiency in Python.
• Excellent coding abilities, with a demonstrated commitment to writing clean, maintainable, readable, reliable, and thoroughly tested software.
• Strong understanding of software architecture, systems design, and engineering trade-offs, with the ability to develop robust solutions that minimize future technical rework.
• Proven full-stack development experience on at least one project, covering multiple areas such as backend engineering, data, frontend development, and deployment.
• Experience with CI/CD pipelines, complex system debugging, and cloud infrastructure.
• Good understanding of software security, scalability, performance, and reliability principles.
• Strong analytical and problem-solving abilities, with the capacity to quickly understand unfamiliar technical concepts and translate them into practical solutions.
• Excellent written and verbal communication skills, including the ability to explain technical concepts, timelines, risks, and architectural decisions clearly and concisely.
• Ability to work collaboratively within a small, fully remote team, demonstrating adaptability and openness to constructive feedback.

Responsibilities

• Design, develop, and deliver core software infrastructure supporting privacy-preserving AI evaluations, primarily using Python.
• Build, maintain, and strengthen secure enclave solutions and Trusted Execution Environment (TEE) technologies to enable confidential computing.
• Contribute to the development and evolution of PySyft, an open-source library, including its workers, verified receipts, and related infrastructure.
• Develop scalable, secure, and reliable software components that enable external evaluators to assess advanced AI models while protecting sensitive data and intellectual property.
• Deploy, configure, and support software within partner environments, including frontier AI laboratories, independent evaluation organizations, and government institutions.
• Help scale the platform from its initial production deployment to multiple implementations, improving reliability, performance, scalability, and overall user experience.
• Take ownership of significant engineering components, making sound architectural decisions and ensuring long-term maintainability.
• Write clean, readable, efficient, and well-tested code while maintaining high software engineering standards.
• Participate in code reviews, provide constructive feedback, and contribute to shared engineering practices.
• Translate ambiguous technical and business requirements into clear system designs, implementation plans, and practical solutions.
• Communicate architectural decisions, technical trade-offs, project timelines, and potential risks effectively to both technical and non-technical stakeholders.
• Leverage AI-powered coding tools to accelerate development while maintaining code quality, security, and reliability.
• Collaborate with technical leadership and distributed engineering teams to continuously improve products and infrastructure.

Skills

Python

Full-stack dev

CI/CD

Cloud infra

Security

Communication

Tools

Terraform

Kubernetes

GCP

AWS

PySyft

Job description

Jobgether is seeking a Senior Software Engineer – AI Oversight to join a fully remote, global team based in Canada. You will design and build infrastructure to enable private, privacy-preserving evaluations of frontier AI models using Python, with a focus on security, scalability, and reliability.

You will contribute to open-source projects like PySyft and collaborate with external partners to deploy solutions across diverse environments.