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Direct IT Recruiting Inc.

AI Development Consultant (1895) $90-100/hr

Toronto, ON, Canada

Pay: $90 to $100 CAD / hour
Job type: Contract
Apply by: Oct 30, 2026
Experience: 2+ years’ experience in business-oriented analytics or software engineering.
Posting language: English
Posted: Sep 30, 2026

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Original job description

Location: Toronto, Ontario (Hybrid – 3 days/week onsite)

Contract Duration: 14 months, 40-hour work week

Skills: Python, SQL, AI Agents, RAG models, ML Models, React, Angular, Python Flask, Azure, Kubernetes, Docker, Agile

Rate: $90-100/hr

Industry: Bank

DESCRIPTION:

As an AI Development Consultant, you will be responsible for designing, implementing, and maintaining AI applications. You will work closely with AI engineers, data scientists, and business stakeholders to understand requirements and deliver scalable solutions.

You’ll join the Applied Intelligence team, which is a multidisciplinary group of data scientists, data analytics specialists, software engineers and UX experts. In this team, you will work in a highly collaborative environment to deliver high-quality AI solutions.
You’ll also work directly with our internal business team clients (Capital Markets, Private Investment, and more).
You will report to Senior Manager of Applied Intelligence

The Applied Intelligence team is mandated to build AI capabilities for the organization and enable an AI augmented workforce.

Support business initiatives in developing, maintaining and improving AI platforms.
Design and develop efficient, scalable, and reliable software used by the whole organization.
Integrate data from different sources, including APIs, relational databases and vector databases.
Full-stack solutions development – web front-end, back-end APIs, and databases
Responsible for ensuring product quality and deployment to different environments
Opportunity to work with different AI models, assist and develop predictive analysis, and/or statistical modelling
Be able to research independently for potential solutions to problems encountered in programming
Maintain, monitor, and improve data science ecosystem: data pipeline, statistical model development and/or business applications

REQUIREMENTS:

Bachelor’s or Master’s degree in quantitative domains: Mathematics, Statistics, Computer Science, or Engineering.
2+ years’ experience in business-oriented analytics or software engineering.
Passion for problem-solving to support investment decision-making
Self-motivated, with the ability to do independent research
Strong communication skills, ability to articulate thoughts/ideas to effectively collaborate with a variety of teams from both investments and technology
Strong desire to work in a team-based and collaborative environment
Strong programming skills (e.g. Python, SQL)
Experience in developing with LLMs is a must. Must have hands-on experience in building AI Agents, RAG models, and working with ML models.
Full-stack programming experience with React/Angular, Python Flask
Experience with automated testing
Familiarity with CICD (Continuous Integration and Continuous Deployment) practices for data engineering projects
Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and related services
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)

NOTE: As part of our hiring process, we use AI-based systems to support the initial screening of applicants.

To Apply: https://directitrecruiting.com/job/ai-dev-consultant-1895/

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More about this job

Responsibilities

Design, develop, maintain, and deploy scalable AI applications and platforms, integrating data from APIs, relational databases, and vector databases. Collaborate with multidisciplinary teams and business stakeholders to deliver full-stack solutions, support predictive and statistical modeling, and improve data pipelines and business applications.

Requirements

Requires a bachelor’s or master’s degree in a quantitative field and at least two years of experience in business analytics or software engineering. Candidates must have strong Python and SQL skills, hands-on experience with LLMs, AI agents, RAG, and machine learning models, plus full-stack development experience and familiarity with testing, CI/CD, cloud platforms, and containerization.

Skills

Python
SQL
AI Agents
Retrieval-Augmented Generation (RAG)
Machine Learning Models
React
Angular
Flask
Azure
Kubernetes
Docker
Agile
Automated Testing
Continuous Integration and Continuous Deployment (CI/CD)
Data Engineering
Full-Stack Development

Visa sponsorship

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Keywords

Artificial Intelligence
Large Language Models
AI Agents
Retrieval-Augmented Generation (RAG)
Machine Learning
Predictive Analysis
Statistical Modeling
Python
SQL
React
Angular
Flask
Azure
AWS
Google Cloud Platform
Kubernetes
Docker
Automated Testing
Continuous Integration and Continuous Deployment (CI/CD)
Data Engineering
Data Pipelines
Vector Databases
Relational Databases
APIs
Full-Stack Development
Agile
Investment Decision-Making
Capital Markets
Private Investment
Applied Intelligence

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