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AI Engineer

  • Toronto, ON, Canada

$144,000 to $180,000 CAD / year · Full-time

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Job details

Pay
$144,000 to $180,000 CAD / year
Job type
Full-time
Work location
This position is hybrid with 3 days in the office.
Experience
5+ years of experience in software engineering, machine learning engineering, or applied AI
Posting language
English
Posted

Original job description

AI Engineer:

On behalf of our Financial Services client, Procom is searching for an AI Engineer for a full-time role. This position is a hybrid position with 3 days onsite at our client’s Toronto office.

AI Engineer - Job Description:

The AI Engineer will work on designing and developing AI-enabled workflows to enhance mortgage processes. This role involves new development focused on agentic workflows and document intelligence to improve productivity and decision quality.

AI Engineer - Responsibilities:

  • Design and build AI-enabled workflows for residential mortgage use cases
  • Translate business rules and underwriting policies into modular prompts and retrieval pipelines
  • Develop production-quality code using Python, SQL, FastAPI, and integrate AI services
  • Create test cases and evaluation datasets to meet quality standards
  • Implement safeguards for privacy, security, and cost control
  • Support UAT, production releases, and ongoing monitoring
  • Refactor components into maintainable services

AI Engineer - Mandatory Skills:

  • Bachelor’s degree in computer science, engineering, data science, mathematics, or a related discipline
  • 5+ years of experience in software engineering, machine learning engineering, or applied AI
  • Experience building production AI solutions, including RAG and agentic workflows
  • Strong experience with Python, SQL, APIs, and cloud services
  • Ability to combine probabilistic AI techniques with deterministic rules
  • Working knowledge of retrieval quality, prompt testing, and error analysis
  • Experience collaborating with various teams through design and production release

AI Engineer – Nice-to-Have Skills:

  • Experience with Microsoft Azure, Databricks, MLflow, Vector Search, or Azure OpenAI Service
  • Experience in financial services or mortgage lending
  • Knowledge of regulated technology environments
  • Experience with red teaming and cost optimization
  • Familiarity with third-party partnerships

AI Engineer – Assignment Length:

This is a permanent position.

AI Engineer - Start Date:

ASAP.

AI Engineer - Assignment Location:

Toronto, Ontario, Canada. This position is hybrid with 3 days in the office.

More about this job

Responsibilities

The AI Engineer at Procom will design and build AI tools that help with mortgage work, turning underwriting rules into prompts and search pipelines. The role also writes production code, tests and monitors the systems after release.

Requirements

Candidates need a bachelor's degree in a technical field and 5+ years of software, machine learning or applied AI experience. Production RAG and agentic workflow experience, plus strong Python, SQL, API and cloud skills, are required.

Skills

  • Python
  • SQL
  • FastAPI
  • RAG
  • Agentic workflows
  • Prompt engineering
  • Retrieval pipelines
  • Vector search
  • API integration
  • Cloud services
  • Microsoft Azure
  • Azure OpenAI Service
  • Databricks
  • MLflow
  • Test case design
  • Evaluation datasets
  • Error analysis
  • Red teaming
  • Cost optimization
  • Software architecture
  • Refactoring
  • Production release support
  • Document intelligence
  • Mortgage underwriting

Categories

  • Technology
  • Software
  • Data & Analytics
  • Finance & Accounting

Keywords

  • AI Engineer
  • Python
  • SQL
  • FastAPI
  • RAG
  • agentic workflows
  • document intelligence
  • prompt engineering
  • retrieval pipelines
  • Azure
  • Azure OpenAI Service
  • Databricks
  • MLflow
  • vector search
  • mortgage
  • financial services
  • machine learning engineer
  • applied AI
  • software engineer
  • hybrid

Tools

  • Python
  • SQL
  • FastAPI
  • Azure
  • Azure OpenAI Service
  • Databricks
  • MLflow

Languages

  • English

Seniority

Senior

Fields of study

  • computer science
  • engineering
  • data science
  • mathematics

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