About the Role
We are building next-generation intelligent agents to enhance digital identity and connectivity management at scale. This role bridges cutting-edge LLM research with robust software engineering, focusing on automation, reliability, and user trust. You will lead development within a dedicated engineering team, driving AI systems from concept to production.
Responsibilities
- Design and build scalable AI features centered on multi-agent systems and sophisticated retrieval-augmented generation (RAG) frameworks.
- Take end-to-end ownership of AI services, including model evaluation, deployment, and ongoing monitoring within Kubernetes.
- Develop high-quality, sustainable code using Python, while contributing to backend systems written in Go.
- Define and enforce standards for ethical AI practices, including bias mitigation, data privacy, and security through model documentation, red-teaming, and impact assessments.
Benefits
- Fully remote work environment
- Comprehensive benefits package
- Culture centered on respect, trust, and flexibility
- Dedicated commitment to diversity and inclusion
- Provision of reasonable accommodations for individuals with disabilities
Compensation
Fair compensation and total rewards offering
Work Arrangement
Remote (Country)
Team
dedicated team of engineers
About the Opportunity
The company has spent over 30 years developing internet infrastructure and software that supports online connectivity. As AI is integrated into core systems, the focus is on creating powerful, agentic solutions that improve how users manage digital identities and access services. This role is for a Senior AI Engineer to join a specialized team building next-generation intelligent agents. You will connect advanced LLM research with production engineering to deliver reliable automation at scale. This is a remote role open to applicants located in Canada.
What You’ll Do
- - System Architecture: Design and implement scalable AI-driven features with a focus on multi-agent systems and advanced RAG architectures.
- - Production Excellence: Move beyond the prototype. You will own the full lifecycle of AI services, from model selection and deployment to monitoring in a Kubernetes environment
- - Polyglot Engineering: Write clean, maintainable code primarily in Python, while collaborating on core infrastructure services written in Go.
- - Ethical AI Leadership: Establish clear standards for data privacy, model bias, and security, including practices like model cards, red-teaming protocols, and privacy impact assessments, ensuring our AI initiatives remain transparent and aligned with our commitment to user trust.
Other
- Applicants must be located in Canada
- Final hiring decisions are made by people, though AI-enabled tools are used in recruitment
- The company and its subsidiaries participate in the E-verify program for all US employees
- The company believes in fair compensation and total rewards offering
