Closed listing
AI Engineer
- Mississauga, ON, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
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
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.
How to Apply
If this opportunity aligns with your career goals and experience, please send the following documents to hrsmss@smsoftconsulting.com by September 25, 2026, at your earliest convenience.
Mandatory Documents
If you are not interested, please feel free to share this opportunity with suitable candidates or forward it to anyone who may be interested.
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.
- 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.
- 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.
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.
How to Apply
If this opportunity aligns with your career goals and experience, please send the following documents to hrsmss@smsoftconsulting.com by September 25, 2026, at your earliest convenience.
Mandatory Documents
- Updated Resume in Word format
- Skills Matrix and References
- Expected Hourly Rate
If you are not interested, please feel free to share this opportunity with suitable candidates or forward it to anyone who may be interested.
More about this job
Responsibilities
Design, develop, and deploy scalable AI/ML solutions to meet business and technical requirements. Collaborate with cross-functional teams to integrate AI models and maintain software using modern engineering practices.
Requirements
Requires 7+ years of experience in software or AI engineering with strong proficiency in Python. Candidates must have hands-on experience with machine learning, deep learning, and cloud platforms.
Skills
- Python
- Machine Learning
- Deep Learning
- Data Processing
- Generative AI
- Large Language Models
- Cloud Platforms
- APIs
- CI/CD
- Git
- Agile Methodologies
- Software Engineering
- AI Engineering
- Problem-solving
- Troubleshooting
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Consulting
Keywords
- AI Engineer
- Python
- Machine Learning
- Deep Learning
- Data Processing
- Generative AI
- LLMs
- Cloud Platforms
- APIs
- CI/CD
- Git
- Agile
- Software Engineering
- AI/ML Frameworks
- Enterprise Software
- Scalability
- Reliability
- Performance Optimization
- Coding Standards