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Added 6 mins ago
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Added 35 mins ago
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Strong analytical skills (both quantitative and qualitative).
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Akkodis

AI Development Consultant

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 30, 2026
Experience: Minimum 2 years of experience in software engineering, AI development, machine learning, analytics, or related fields.
Posting language: English
Posted: Sep 30, 2026

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Original job description

Position: AI Development Consultant

Duration: Contract through December 24, 2027

Location: Toronto, ON

Work Model: Hybrid

About Our Client:

Our client is a leading investment-focused organization committed to leveraging advanced technology and artificial intelligence to drive innovation and business value. Through a collaborative and multidisciplinary approach, the organization develops scalable AI solutions that support enterprise-wide initiatives. The team is focused on building next-generation AI capabilities, enabling data-driven decision-making, and fostering an AI-augmented workforce.

About this opportunity:

On behalf of our client, we are seeking an experienced AI Development Consultant to support the design, development, and enhancement of enterprise AI solutions. This role is part of a multidisciplinary Applied Intelligence team comprised of data scientists, analytics specialists, software engineers, and UX professionals focused on delivering innovative AI capabilities across the organization.

The successful candidate will work closely with business stakeholders and technical teams to develop scalable AI applications, build intelligent automation solutions, and contribute to the organization's AI transformation initiatives. This opportunity is ideal for a professional with hands-on experience in Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG) solutions, machine learning, and full-stack development.

What You’ll Do:

Design, develop, implement, and maintain AI-powered applications and platforms.
Support business initiatives focused on developing, enhancing, and scaling AI capabilities.
Build and maintain full-stack solutions, including web front-end applications, back-end APIs, and databases.
Develop and deploy AI Agents, RAG-based solutions, and machine learning applications.
Integrate data from multiple sources, including APIs, relational databases, and vector databases.
Collaborate with data scientists, engineers, and business stakeholders to gather requirements and deliver solutions.
Ensure software quality through automated testing, monitoring, and deployment best practices.
Participate in model development, predictive analytics, and statistical modelling initiatives.
Research, evaluate, and implement emerging AI technologies and development approaches.
Maintain and improve AI and data science ecosystems, including data pipelines, models, and business applications.
Support deployments across development, testing, and production environments.
Follow established governance, security, and operational processes.

Must Have

Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
Minimum 2 years of experience in software engineering, AI development, machine learning, analytics, or related fields.
Strong programming experience with Python and SQL.
Demonstrated hands-on experience developing solutions using Large Language Models (LLMs).
Experience building AI Agents and Retrieval-Augmented Generation (RAG) applications.
Experience working with machine learning models and AI frameworks.
Full-stack development experience using React or Angular and Python Flask.
Experience integrating APIs, databases, and enterprise data sources.
Knowledge of automated testing practices and software quality assurance.
Familiarity with CI/CD (Continuous Integration and Continuous Deployment) practices.
Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
Familiarity with Docker, Kubernetes, or similar containerization and orchestration technologies.
Strong analytical and problem-solving skills.
Ability to conduct independent research and propose technical solutions.
Excellent communication and collaboration skills.

Nice to Have

Experience building enterprise-scale AI platforms and applications.
Experience working with vector databases and semantic search solutions.
Exposure to investment management, capital markets, financial services, or related domains.
Experience working with MLOps practices and AI model deployment.
Familiarity with data engineering and data pipeline development.
Experience working in agile software development environments.

How to Apply:

Interested candidates are encouraged to submit their resumes via the Akkodis Canada website.

Akkodis Canada will never share your resume or any personal details without your explicit consent.

We thank all applicants for their interest in this opportunity. Only candidates meeting the above qualifications will be contacted for further discussions

Our Commitment:

At Akkodis, part of The Adecco Group, we’re committed to making the future work for everyone. We live our values, Passion, Collaboration, Inclusion, Courage, and Customers at Heart, by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from individuals of all backgrounds and identities. Together, we’re making the future work for everyone.

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More about this job

Responsibilities

Design, develop, deploy, and maintain enterprise AI applications, including AI agents, RAG solutions, machine learning applications, and full-stack systems. Collaborate with technical teams and business stakeholders to integrate data, improve AI capabilities, and support quality, governance, and production deployment.

Requirements

Requires a bachelor's or master's degree in a quantitative discipline and at least two years of relevant experience. Candidates must have strong Python and SQL skills, hands-on LLM, AI agent, RAG, machine learning, and full-stack development experience, along with familiarity with cloud platforms, CI/CD, and container technologies.

Skills

Python
SQL
Large Language Models
AI Agents
Retrieval-Augmented Generation
Machine Learning
React
Angular
Flask
API Integration
Relational Databases
Vector Databases
Automated Testing
CI/CD
Cloud Platforms
Docker

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Applied Intelligence
Python
SQL
Large Language Models
AI Agents
Retrieval-Augmented Generation
Machine Learning
React
Angular
Flask
Full-Stack Development
APIs
Relational Databases
Vector Databases
Semantic Search
Automated Testing
Software Quality Assurance
CI/CD
Azure
AWS
Google Cloud Platform
Docker
Kubernetes
MLOps
Data Engineering
Data Pipelines
Predictive Analytics
Statistical Modeling
Agile Software Development

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