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Software Engineer Ai Remote Jobs in Toronto, ON (NOW HIRING)

Drive the adoption and change management necessary to embed AI-assisted software development ... Job Location - Remote (USA & Canada) The expected base salary for this position is: CAD 145000/ USD ...

Software Engineer - Web3

Toronto, ON · Remote

$150K - $250K/yr

Every payment, treasury operation, settlement flow, trading strategy, AI agent, and financial ... Fully remote organization that allows you to work anywhere in the US, Canada, or North American ...

Software Engineer - Web3

Toronto, ON · Remote

$150K - $250K/yr

Every payment, treasury operation, settlement flow, trading strategy, AI agent, and financial ... Fully remote organization that allows you to work anywhere in the US, Canada, or North American ...

Mississauga, Ontario (Hybrid). 3x per week in office, 2x per week remote Function: Engineering ... Experience with AI/ML integrations or LLM-powered features in enterprise applications

Leverage AI tools thoughtfully across development, debugging, documentation, and workflow acceleration while maintaining strong engineering judgment What We Look For * 5+ years of software ...

Leverage AI tools thoughtfully across development, debugging, documentation, and workflow acceleration while maintaining strong engineering judgment What We Look For * 5+ years of software ...

Expert Software Engineer - ServiceNow

Toronto, ON · Remote

CA$120K - CA$137K/yr

Remote, United States or Canada Hours: Must align with Eastern Time Join a healthcare technology ... Identify opportunities to incorporate AI capabilities into the ServiceNow platform. * Develop ...

AI Engineer

Maple, ON · On-site +1

CA$94K - CA$136K/yr

Mentor and coach junior AI engineers, software engineers, data scientists, and interns while fostering engineering excellence and knowledge sharing About you Required Qualifications: * Master's or ...

AI Engineer

Mississauga, ON · On-site +1

CA$94K - CA$136K/yr

Mentor and coach junior AI engineers, software engineers, data scientists, and interns while fostering engineering excellence and knowledge sharing About you Required Qualifications: * Master's or ...

AI Engineer

Brampton, ON · On-site +1

CA$94K - CA$136K/yr

Mentor and coach junior AI engineers, software engineers, data scientists, and interns while fostering engineering excellence and knowledge sharing About you Required Qualifications: * Master's or ...

AI Engineer

Unionville, ON · On-site +1

CA$94K - CA$136K/yr

Mentor and coach junior AI engineers, software engineers, data scientists, and interns while fostering engineering excellence and knowledge sharing About you Required Qualifications: * Master's or ...

AI Engineer

Toronto, ON · On-site +1

CA$94K - CA$136K/yr

Mentor and coach junior AI engineers, software engineers, data scientists, and interns while fostering engineering excellence and knowledge sharing About you Required Qualifications: * Master's or ...

Software Engineer

Unionville, ON · On-site +1

CA$125K - CA$208K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto ... About Sanofi We're an R&D-driven, AI-powered biopharma company committed to improving people ...

Software Engineer

Toronto, ON · On-site +1

CA$125K - CA$208K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto ... About Sanofi We're an R&D-driven, AI-powered biopharma company committed to improving people ...

Software Engineer

Maple, ON · On-site +1

CA$125K - CA$208K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto ... About Sanofi We're an R&D-driven, AI-powered biopharma company committed to improving people ...

Software Engineer

Brampton, ON · On-site +1

CA$125K - CA$208K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto ... About Sanofi We're an R&D-driven, AI-powered biopharma company committed to improving people ...

Showing results 41-60

Software Engineer Ai Remote information

What does a software engineer AI remote do?

A Software Engineer AI (Remote) is responsible for designing, developing, and implementing artificial intelligence algorithms and systems while working from a remote location. They collaborate with teams to build machine learning models, integrate AI solutions into products, and ensure the scalability and reliability of AI-driven applications. In addition to coding and model training, they may also work on data preprocessing, deployment, and performance monitoring—all while communicating effectively with team members using digital tools.

What are the key skills and qualifications needed to thrive as a software engineer AI remote?

To thrive as a Software Engineer AI (Remote), you need a strong background in computer science, programming (Python, Java, C++), machine learning principles, and typically a degree in a related field. Familiarity with deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and version control systems (Git) is commonly required, along with relevant certifications. Excellent problem-solving, self-motivation, and clear communication are vital soft skills, especially for remote collaboration. These skills ensure you can develop effective AI solutions, work autonomously, and contribute meaningfully to distributed teams.

How does a remote software engineer AI typically collaborate with cross-functional teams?

As a remote Software Engineer focused on AI, you'll frequently collaborate with data scientists, product managers, and other engineers through digital platforms. Daily interactions often involve virtual stand-ups, code reviews, and shared documentation to ensure alignment on project goals and timelines. Effective communication and proactive updates are crucial, as much of the teamwork happens asynchronously. You'll also participate in brainstorming sessions and sprint planning to integrate AI solutions that meet both business and technical requirements.

What is the difference between Software Engineer Ai Remote vs Data Scientist Ai Remote?

AspectSoftware Engineer Ai RemoteData Scientist Ai Remote
Required CredentialsBachelor's in CS or related field, programming skills, AI/ML knowledgeBachelor's or higher in CS, Statistics, or related, strong analytical skills
Work EnvironmentRemote, collaborative teams, software development lifecycleRemote, data analysis, model building, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for AI roles involving coding and software developmentCompared for roles focusing on data analysis and model deployment

While both roles work remotely and involve AI, Software Engineer Ai Remote primarily focuses on developing AI software and applications through coding, whereas Data Scientist Ai Remote emphasizes analyzing data, building models, and deriving insights. The choice depends on whether you prefer software development or data analysis within the AI field.

Infographic showing various Software Engineer Ai Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Forward Deployed Engineer

Banyan Software

Toronto, ON • On-site, Remote

Full-time

Re-posted 19 days ago


Job description

Overview

We are looking for an exceptional full-stack software engineer who will act as a Forward Deployed Engineer (FDE) to serve as the critical interface between the central AI Application Modernization Factory and our application teams. The FDE will be temporarily embedded within delivery teams to directly drive the modernization of key applications, ensuring technical success, accelerated adoption of AI-assisted SDLC practices, and lasting upskilling of team members. This is a high-impact, hybrid role requiring advanced software engineering skills, deep knowledge of cloud-native patterns, and proven expertise in consultation, change management, and building strong rapport with diverse teams.

Key Responsibilities
  • Application Modernization Execution: Embed with application teams to provide hands-on technical leadership, driving the design, development, and delivery of modernization efforts (re-platforming, microservices adoption) to AWS cloud-native architectures.
  • AI-First SDLC Adoption & Upskilling: Act as the subject matter expert on the AI Modernization Factory's tools and processes (e.g., Cursor, Claude Code). Drive the adoption and change management necessary to embed AI-assisted software development practices into the team's daily workflow.
  • Consultative Engineering & Change Management: Build trust and rapport with new, diverse teams quickly. Identify team-specific technical and process bottlenecks, recommending and implementing solutions, and effectively managing the people/process side of technical change.
  • Hands-on Software Development: Make significant code contributions, focusing on setting up architectural scaffolding, CI/CD pipelines, IaC (Terraform), and solving complex, blocking integration challenges for the embedded team.
  • Feedback Loop: Serve as the primary feedback channel, relaying practical challenges, tool deficiencies, and necessary process adjustments back to the central Principal Engineer and Architect to continuously improve the factory's capabilities.
  • Standards & Quality: Ensure embedded teams adhere to the central factory's engineering standards, including Twelve-Factor App principles, DevSecOps practices, and high-quality coding standards.
Required Qualifications & Experience
  • Experience: 5+ years of progressive experience in Software Engineering, with a focus on enterprise applications and application modernization.
  • Full Stack Proficiency: Strong hands-on experience across the full application stack (front-end, back-end, database, infrastructure). Expert proficiency in one or more modern technology languages (e.g., Python, TypeScript, C#, Java).
  • Cloud Native & IaC: Deep practical experience building and deploying scalable applications on AWS. Strong proficiency with Infrastructure-as-Code (IaC), specifically Terraform.
  • Consulting & Change Management: Proven ability to onboard rapidly, assess team dynamics and technical landscapes, influence technical direction without formal authority, and drive organizational/process change within established engineering teams.
  • DevSecOps & CI/CD: Hands-on mastery of setting up and optimizing CI/CD pipelines (GitHub Actions, GitLab CI) and integrating DevSecOps best practices.
  • Architectural Understanding: Solid understanding of modern architectural patterns (microservices, serverless, event-driven architecture) and the principles of Domain-Driven Design (DDD).
  • Communication & Interpersonal Skills: Exceptional communication, presentation, and listening skills. Ability to articulate complex technical issues and solutions to both technical and non-technical stakeholders effectively.
Preferred Skills (A Plus)
  • Prior experience in a consulting, Staff Engineer, or Forward Deployed role, specifically focused on technical adoption or modernization.
  • Direct experience training or mentoring other software engineers in new technologies or methodologies.
  • Hands-on experience with modern UI frameworks like React, NextJS, or similar.
  • Experience utilizing AI-assisted coding tools (Cursor, Claude Code) in a professional development environment.
  • Familiarity with containerization (Docker/Kubernetes) and serverless architectures (AWS Lambda).

Job Location - Remote (USA & Canada)

The expected base salary for this position is: CAD 145000/ USD 170,000 excluding annual bonus (when applicable). Salary is based on a number of factors including market conditions, location and may vary depending on job-related skills and experience.