Software Engineer AI - Levels

This position is based in
Vancouver, BC
, within Diligent’s Technical Center of Excellence. We are currently hiring candidates who are based in or able to work from Vancouver
.

Levels: Software Engineer II
Senior Software Engineer
Staff Software Engineer
Location: Vancouver

As a Software Engineer on Diligent's Platform AI team, you'll help design, build, and operate the core services that power AI-driven capabilities across Diligent's global product suite. You'll build secure, scalable, serverless services on AWS that translate AI research and models into commercial-quality, production-ready solutions — enabling customers to derive insights from their governance data.

You'll work closely with AI researchers, product managers, and other engineering teams, owning your services end-to-end: architecture, implementation, deployment, and monitoring. The team operates with a strong AI-augmented engineering culture — using AI tools to accelerate coding, testing, debugging, and delivery — while applying sound judgment about when and how to apply them.

• Design and implement secure, scalable, fault-tolerant, high-performing solutions using AWS serverless technology — event-driven, highly observable, and built with infrastructure as code.
• Collaborate with AI researchers/engineers to translate AI and LLM capabilities into robust, production-grade services, and help other teams integrate them.
• Build and maintain the pipelines needed to deploy, monitor, and manage AI services at scale — observable, resilient, and cost-effective.
• Use AI-powered development tools (code assistants, test generation, architecture exploration) responsibly to accelerate delivery and improve quality, always validating outputs.
• Participate in architecture discussions and design reviews, and contribute to product design by understanding customer problems — especially where AI can offer a breakthrough solution.
• Work in a collaborative, agile environment: pair, plan, and execute as a team, optimizing for team productivity and healthy delivery metrics (e.g., DORA).

• Professional software engineering experience building web applications in an agile environment (see level modifiers for years).
• Hands-on experience with AWS services; familiarity with infrastructure as code (CDK, Terraform, or similar).
• Backend proficiency: RESTful APIs, Node.js/Type Script or Python, Git, and SQL databases (e.g., PostgreSQL).
• Frontend familiarity: experience with React or Angular.
• Practical, hands-on use of AI tools (code assistants, prompt engineering, AI-assisted debugging/testing) to boost productivity, with the judgment to validate outputs responsibly (bias, cost, ethics, accuracy).
• Working understanding of core AI/LLM concepts (tokens, context length, embeddings, hallucinations) and safe vs. unsafe use cases (privacy, security, fairness).
• Ability to write readable, well-tested, secure code aligned with SOLID principles.
• Strong communication skills — able to discuss architectural decisions and explain technical concepts clearly.
• Passion for continuous learning and curiosity about how AI is transforming software engineering.

• Experience with AWS CDK, Type Script, and React.
• Microservices and event-driven architecture.
• CI/CD pipelines and automated testing on AWS, including AI-assisted Dev Ops tooling.
• Practical experience deploying and managing AI applications in production.
• Understanding of MLOps challenges: prompt/flow management, data drift, performance monitoring, RAG pipelines, or semantic search.

Bachelor's degree in Computer Science or related field (or equivalent practical experience).

Pay Range

$100,000 - $150,000 CAD

About Us

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