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Applied AI Platform Engineer
Mawer Investment Management
Calgary, CAN
Full Time
Mid
1 weeks ago
PythonAPIsCloud ServicesData PipelinesLLMRAG
Free
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About the Role
Mawer Investment Management is seeking an Applied AI Platform Engineer to build platforms and patterns that enable safe, reliable, and repeatable AI use in an enterprise environment.
Key Skills for This Role
PythonAPIsCloud ServicesData PipelinesLLMRAG
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.
Requirements
- 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.
- Strong communication and problem solving skills, with ability to work independently and collaboratively.
- 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.
Full Job Posting
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.
- 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.
Why Mawer?
- Directly contribute to the firm’s growth as a global, independent investment manager.
- Learn and work within a high performing team that has consistently delivered exceptional long term investment results and high levels of client satisfaction.
- Be a part of a meritocracy in which the quality of ideas supersedes hierarchy; where every role is valued, and every voice heard.
- Our unique culture, which is integral to who we are and (we think) a competitive advantage.
- We offer a flexible work environment with a blended workplace approach tailored to the unique needs of each department and team.
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.
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