Applied AI Platform Engineer

Be Boring. Make Money.™;
is our investment approach, but we are anything but dull. We are a diverse, passionate team united by our commitment to provide our clients with financial peace of mind and our desire to create one of the best companies in the world.

A career with us will be demanding; however, the experience will also be dynamic, supportive, intellectually stimulating, and above all, meaningful. We take pride in doing things a little differently than other investment firms. Innovative ideas, diverse opinions and experiences, and teamwork are expected and rewarded regardless of title or tenure.

Dedicated to our people, we have consistently been recognized as a preferred employer, receiving awards such as Canada’s Top 100 Employers (2026), Alberta Top Employers (2026), and Canada’s Top Small & Medium Employer (2025).

Location:

Calgary, AB

We are seeking an Applied AI Platform Engineer who will be focused on using AI tools to build platforms, systems and recognize patterns that allow teams to use AI safely, reliably, and repeatedly in an enterprise environment. This role will be responsible for taking AI from experimentation into institutional capability by creating AI workflow orchestration, internal data integration, retrieval-augmented generation, agentic workflows, evaluation, observability, human-in-the-loop review, and reusable application patterns.

• Help design and build Nova’s internal AI platform and application patterns
• Develop reusable components for AI workflows, including retrieval, tool use, structured outputs, orchestration, evaluation, and human review
• Build systems that connect LLMs with internal data, documents, APIs, and business workflows
• Support the development of AI-enabled applications from prototype through production
• Work with Python, APIs, cloud services, data pipelines, application frameworks, and AI development tools
• Explore and evaluate emerging AI frameworks, models, and architectural patterns
• Help define standards for AI application reliability, security, observability, governance, and maintainability
• Build tooling and templates that help other teams create AI-supported applications faster and more safely
• Partner with stakeholders to understand business problems and translate them into scalable technical solutions
• Monitor system quality, cost, latency, and reliability as AI workflows move into broader use

• Bachelor’s degree in computer science, engineering, mathematics, data science, or a related technical field
• Approximately 2-5 years of relevant technical experience preferred
• Strong programming ability, preferably in Python
• Experience with APIs, backend services, data pipelines, cloud platforms, or application development
• Exposure to LLMs, RAG, vector databases, orchestration frameworks, machine learning, or AI application development is an asset
• Experience with Type Script, front-end frameworks, containers, CI/CD, observability, or security practices is helpful
• Financial services or investment management experience is helpful but not required
• Experience in software engineering, data engineering, machine learning engineering, platform engineering, or applied AI
• Experience with Python and are comfortable building services, APIs, pipelines, or internal tools
• Strong communication and problem-solving skills, with the ability to work independently and collaboratively in high-performance teams
• Experience in fast-paced, agile environments—comfortable with rapid experimentation, iteration, and problem-solving
• Have a builder’s mindset and enjoy working in a small, fast-moving team inside a disciplined investment firm
• Can work through ambiguity and turn early-stage ideas into practical prototypes
• Are excited by AI system design, not just AI usage
• Can learn new frameworks, tools, and architectures quickly
• Understand or are eager to learn LLM application patterns such as RAG, agents, tool calling, embeddings, model evaluation, and workflow orchestration
• Care about building systems that are reliable, observable, secure, and maintainable
• Flexible work environment. May require shift work and weekends in…