AI Engineer

S M Software Solutions Inc; Mississauga; Hybrid; CAD 120,000 - 160,000; Full time

Job summary

Citi in Mississauga, Ontario, is seeking an experienced AI Engineer for a hybrid, full-time role. The ideal candidate has 7+ years in software or AI engineering with strong Python skills and experience deploying AI/ML solutions.

Experience with Generative AI, LLMs, APIs, cloud platforms, CI/CD, and Agile practices is preferred. The role collaborates across engineers and data teams to deliver scalable AI solutions.

Qualifications

• 7+ years of experience in software or AI engineering.
• Strong hands-on Python programming.
• Proven experience developing and deploying AI/ML solutions.
• Experience with CI/CD, Git, APIs, and cloud platforms.
• Familiarity with Generative AI and LLMs is preferred.
• Experience with Agile methodologies.

Responsibilities

• Design, develop, test, and deploy AI/ML solutions.
• Develop scalable Python software.
• Apply ML, DL, and data-processing techniques.
• Develop and integrate AI/ML models and supporting apps.
• Work with APIs and cloud platforms to deploy AI solutions.
• Explore Generative AI and LLM-based solutions.
• Collaborate with software engineers and data professionals.
• Follow software development best practices and CI/CD pipelines.
• Use Git and modern source-control practices.
• Participate in Agile ceremonies and sprints.
• Troubleshoot issues and optimize performance.
• Evaluate emerging AI technologies and frameworks.

Skills

Python

AI engineering

Machine Learning

Deep Learning

Data Processing

APIs

Cloud Platforms

CI/CD

Git

Agile

Job description

Hybrid

Client: Citi

Location: Mississauga, Ontario, Canada - Hybrid

Employment Type: Full-Time

Experience: 7+ Years

Application Deadline: September 25, 2026

Role Overview

We are seeking an experienced AI Engineer with 7+ years of experience in software and AI engineering to design, develop, and deploy AI/ML solutions. The ideal candidate will have strong Python programming skills, hands-on experience with machine learning and data processing, and a solid understanding of modern software engineering practices.

Experience with Generative AI and Large Language Models (LLMs) is preferred. The successful candidate should also be comfortable working with APIs, cloud platforms, AI/ML frameworks, CI/CD pipelines, Git, and Agile development methodologies.

Key Responsibilities

• Design, develop, test, and deploy AI/ML solutions to support business and technical requirements.
• Develop scalable and maintainable software solutions using Python.
• Apply machine learning, deep learning, and data-processing techniques to real-world problems.
• Develop and integrate AI/ML models and supporting applications.
• Work with APIs and cloud-based platforms to deploy and integrate AI solutions.
• Explore and contribute to Generative AI and LLM-based solutions where applicable.
• Collaborate with software engineers, data professionals, and cross-functional stakeholders.
• Follow software development best practices, coding standards, and engineering methodologies.
• Implement and maintain CI/CD pipelines for AI and software applications.
• Use Git and modern source-control practices throughout the development lifecycle.
• Participate in Agile ceremonies, sprint planning, development, testing, and continuous improvement activities.
• Troubleshoot technical issues and optimize AI/ML solutions for performance, reliability, and scalability.
• Conduct research and evaluate emerging AI technologies and frameworks.

Required Skills & Experience

• 7+ years of experience in software engineering and/or AI engineering.
• Strong hands-on programming experience with Python.
• Proven experience developing and deploying AI/ML solutions.
• Strong knowledge of:
  • Machine Learning
  • Deep Learning
  • Data Processing
• Experience working with APIs and cloud platforms.
• Experience with modern AI/ML frameworks and tools.
• Strong understanding of software development and engineering best practices.
• Experience with:
  • CI/CD
  • Git
  • Agile methodologies
• Strong analytical, troubleshooting, and problem-solving skills.

Preferred Skills

• Hands-on experience with Generative AI.
• Experience working with Large Language Models (LLMs).
• Knowledge of modern AI application development and deployment practices.
• Experience integrating AI/ML capabilities into enterprise software applications.

Candidate Profile

The ideal candidate is a highly experienced AI/software engineer with strong Python expertise and a proven ability to take AI/ML solutions from development through deployment. Candidates who combine strong software engineering fundamentals with practical experience in Generative AI, LLMs, cloud platforms, and modern development practices will be especially well suited for this opportunity.