AI Engineer
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Key skills for this role
About the Role
Mawer Investment Management is seeking an AI Engineer to build an enterprise AI platform from the ground up. You will design core platform components, build integration layers connecting LLMs to internal data, and define standards for reliability and governance.
Key Skills for This Role
Responsibilities
- Design the core platform including building a knowledge base via LLM ingestion and retrieval within an asset manager context
- Build the integration layer connecting LLMs to internal data, documents, APIs, and business workflows
- Create reusable patterns and templates to enable firm orchestrators
- Define standards for reliability, security, observability, evaluation, and governance
- Evaluate emerging frameworks and architectures, deciding what earns a place in our stack
Requirements
- Software engineering background with shipped production systems
- Comfortable building services, APIs, data pipelines, and internal tools
- Exposure to LLM application patterns: RAG, vector databases, orchestration, agents, tool calling, embeddings, model evaluation
- Experience with cloud platforms, containers, CI/CD, observability, or security practices
- Financial services or investment management industry exposure
Full Job Posting
The Opportunity
- We're building an enterprise AI platform from the ground up — a model agnostic infrastructure layer connecting our firm's data, documents, and business logic to large language models.
- This role is for the person keen on building those AI systems, not just using them.
Duties and Responsibilities
- Design the core platform — examples include building a knowledge base via LLM ingestion and retrieval within an asset manager context and expanding tools/capabilities for internal agents.
- Build the integration layer connecting LLMs to internal data, documents, APIs, and business workflows.
- Create reusable, Mawer specific patterns and templates to enable firm orchestrators.
- Define standards for reliability, security, observability, evaluation, and governance.
- Evaluate emerging frameworks and architectures, deciding what earns a place in our stack.
Desired Qualifications
- Software engineering background — you've shipped production systems, not just prototypes.
- Comfortable building services, APIs, data pipelines, and internal tools.
- Exposure to LLM application patterns: RAG, vector databases, orchestration, agents, tool calling, embeddings, model evaluation.
- Experience with cloud platforms, containers, CI/CD, observability, or security practices.
- Financial services or investment management industry exposure.
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.
- Be a part of a meritocracy where the quality of ideas supersedes hierarchy.
- Flexible work environment with a blended workplace approach.
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.
About Mawer
- Established in 1974, Mawer Investment Management Ltd. is an independent firm that provides world class, global investment management services.
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