Software Engineer Co-op Student (AI) (4-month contract)

Career Opportunity

Role Title

Software Engineer Co-op Student (AI) (4-month contract)

Purpose of role

The Software Engineer Co-op Student will join the AI & Enterprise Applications team and contribute to the design, development, and deployment of innovative software solutions and AI-powered applications. Working alongside experienced architects, engineers, and data professionals, you will gain hands-on experience building enterprise applications, developing AI/ML solutions, and evaluating emerging technologies. This role offers an excellent opportunity to learn, innovate, and make meaningful contributions to real-world business initiatives in a collaborative and supportive environment.

Job Description

Key Responsibilities

• Assist in the design, development, testing, and deployment of software applications and AI solutions.
• Develop, train, and evaluate machine learning and generative AI models.
• Perform data preparation, analysis, and feature engineering to support model development.
• Collaborate with architects and engineers on proof-of-concepts, prototypes, and innovation initiatives.
• Write clean, maintainable, and well-documented code following development best practices.
• Contribute to application design and architectural discussions.
• Maintain code repositories and participate in version control processes.
• Research emerging technologies and recommend opportunities for adoption.
• Participate in Agile ceremonies, team meetings, and technical discussions.
• Support the continuous improvement of development processes and tools.

Key Qualifications

• Currently enrolled in a Bachelor's degree program in Computer Science, Software Engineering, Data Science, or a related field.
• Strong programming skills in Python, C#, .NET, Java, or similar languages.
• Knowledge of machine learning concepts and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms, preferably Microsoft Azure.
• Experience or familiarity with Azure DevOps, Git, and modern software development practices.
• Understanding of data analysis, data preparation, model evaluation, and software testing principles.
• Strong analytical and problem-solving skills.
• Ability to work independently while collaborating effectively within a team environment.
• Excellent communication skills, curiosity, and a passion for learning new technologies.
• Interest in Artificial Intelligence, Generative AI, and enterprise technology solutions is considered an asset.

Preferred Qualifications

• Experience with Generative AI technologies, LLMs, prompt engineering, or AI agents.
• Exposure to cloud-native development, APIs, and automation tools.
• Personal, academic, or open-source projects demonstrating software development or AI experience.

#LI-Hybrid

Hourly Range:

$21.00 - $30.00

The actual base salary for this position will depend on several factors, including job-related skills, experience, and education. In addition to base pay, eligible employees may participate in a discretionary variable incentive plan, results are subject to both individual and company performance.

Please note that this posting is intended to fill an existing vacancy; however, there may be instances where more than one vacancy is available for the same role.

Equal Opportunity Employment and Inclusion – at Foresters Financial, we are committed to sustaining an equal opportunity environment for all job applicants. We embrace Inclusion, Diversity and Equity (IDE) as a core strategic objective for building strong, innovative teams in which all our employees can show up wholly and authentically as themselves.

Foresters Financial strives to provide an accessible candidate experience for prospective employees with different abilities. If you anticipate needing any type of accommodations during the recruitment process, please email [email protected] in advance of your appointment.

Thank you for choosing Foresters. Only those candidates who will be selected for further consideration will be contacted by our Talent Acquisition Team.