Applied AI Platform Engineer

Mawer

$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant technical field
  • 2-5 years of technical experience preferred
  • Strong programming skills, especially in Python
  • Experience with APIs, backend services, and cloud platforms
  • Familiarity with LLMs and machine learning practices is a plus
  • Experience in fast-paced, agile environments
  • Strong communication and problem-solving abilities.

Responsibilities

  • Design and build the internal AI platform and application patterns
  • Develop reusable components for AI workflows
  • Connect LLMs with internal data and business workflows
  • Support AI-enabled application development from prototype to production
  • Evaluate emerging AI frameworks and models
  • Define standards for AI application reliability and observability
  • Monitor quality and reliability of AI workflows.

Benefits

  • Comprehensive health and wellness benefits
  • Unlimited vacation days
  • Retirement planning assistance with RSP contributions
  • Annual learning stipend
  • Parental leave top-up
  • Community investment contribution through Employee Matching Program.
Full Job Description
Full Time
Location: Calgary, AB
Vacancy Status: New Role

The Opportunity

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.

Duties and Responsibilities

  • 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


Desired Qualifications

  • 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 TypeScript, 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 exceptional circumstances.


Our Benefits and Perks Include:

  • Comprehensive health and wellness benefits
  • Unlimited vacation days
  • Retirement planning assistance, including RSP contributions
  • Annual learning stipend
  • Parental leave top-up
  • Significant community investment contribution via our Employee Matching Program


To apply, please submit your resume, cover letter, and application by July 24, 2026, to: https://www.mawer.com/careers/

No telephone inquiries please.We thank all applicants and advise that only those selected for an interview will be contacted.

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