Applied Scientist

Responsibilities

• Design and build scalable backend services and distributed systems for agentic AI applications.
• Partner with Applied Scientists to bring models, evaluation methods, and agentic capabilities from prototype to production.
• Build software connecting models, tools, data, and evaluation feedback into robust AI experiences.
• Develop APIs, data flows, and integration patterns for low-latency, high-quality AI services.
• Build systems for model deployment, release management, monitoring, evaluation, and safe rollout.
• Improve the reliability, latency, scalability, and cost efficiency of production AI systems.
• Contribute to DialpadGPT and the engineering systems supporting next-generation agentic experiences.
• Collaborate across engineering, product, and research to resolve complex technical problems and deliver customer impact.

Requirements

• 5+ years of professional software engineering experience building and operating production services.
• Strong experience with backend systems, distributed services, APIs, and cloud infrastructure.
• Experience building agentic systems, LLM-powered applications, model-serving systems, or AI-enabled backend services in production.
• Strong programming skills in Python and/or other backend languages, with clean, maintainable, well-tested code.
• Experience with observability, debugging, performance optimization, and production incident response.
• Ability to translate technical prototypes into durable systems in an ambiguous, fast-moving environment.
• Strong communication and collaboration skills with Applied Science, product, and engineering partners.

Compensation

• British Columbia, Canada base salary: $168,000–$194,250 CAD.
• Benefits include comprehensive benefits, training, AI tools, and growth opportunities.