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

TTEC Digital seeks a Principal Software Engineer to join our team. This role is a full-time and ... LI-Remote We may use artificial intelligence (AI) tools to support parts of the hiring process ...

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 II (AI Integration)

Toronto, ON · On-site +1

CA$96K - CA$115K/yr

This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments. Key Responsibilities * 3-5 years total experince

Software Engineer III (AI Integration)

Toronto, ON · On-site +1

CA$125K - CA$154K/yr

This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments. Key Responsibilities * Develop end-to-end pipelines ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex engineering tasks. * Review model-generated frontend code for correctness, quality, maintainability ...

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 ...

This is a remote role for candidates in the US or Canada, focusing on cross-functional ... AI-powered automation, and other disruptive technologies. We're a force for progress, working ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

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 ...

Xello is looking for a Principal Engineer This role is a remote role, looking for candidates within ... Partner with engineering leaders to lead the evolution of AI in the development lifecycle ...

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 ...

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

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

Showing results 21-40

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.

What job categories do people searching Software Engineer Ai Remote jobs in Toronto, ON look for?

The top searched job categories for Software Engineer Ai Remote jobs in Toronto, ON are:

Infographic showing various Software Engineer Ai Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Principal Software Engineer

TTEC Digital

Toronto, ON • Remote

Full-time

Re-posted 14 days ago


Job description

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.

TTEC Digital seeks a Principal Software Engineer to join our team. This role is a full-time and fully remote opportunity! 

The work:

We're an innovation group inside TTEC (NASDAQ: TTEC), building the next generation of AI CX tools - automated QA, conversational analytics, knowledge assist, and agentic automation - for the world's biggest brands and the millions of customers they serve. We move like an early-stage startup, backed by the scale, distribution, and enterprise client base of a company that's been obsessed with customer experience since 1982. 

This is the rare seat where getting in early actually matters at scale. TTEC is a public company at an AI inflection point. Ship the right products into thousands of live enterprise deployments and you don't just move a metric - you move the trajectory of the company and the value of the stock. The leverage is real, and the work compounds. 

Who we hire - the DNA 

  • Self-starters and do-ers with grit - hackers in the best sense, with a startup mentality and a show-me bias: working software over slides, prototypes over proposals. 

  • Want to learn, love new technology. This platform is built on the latest technology, and that technology changes and advances monthly. You adapt to change quickly - new tools, new models, new priorities - without drama. 

  • Master debuggers and problem solvers. You love solving complex problems, you think outside the box, and you multitask across domains without losing the thread. 

  • AI-native. You work with AI on all levels - you understand the technology around you (LLMs, SLMs, RAG, knowledge graphs, agents, training, eval) and you use AI tools daily to exponentially increase your velocity. 

  • Distributed-systems literate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands. 

  • Innovators who ship. You demonstrate ideas easily, fail fast, and move forward. You make committed timelines and hit them. 

  • You consider yourself exceptional - and you like winning. So do we. 

No one will have everything in this description. We're looking for well-rounded, smart people who move fast.

What You will Do:
The role:
  • As this group's Principal Software Engineer, you will be the "right-hand" of the engineering leader and part of the org's leadership team.
  • You will be the organization's problem solver. Not an architecture title you hide behind - a coder who jumps into whichever squad is stuck, ships the hard thing, and moves on. 
  • You will jointly own the Platform Architect responsibilities for C1 Platform Foundation. This is a fast-moving train in a startup environment: the tech we build on changes monthly, the plan changes with it, and you thrive on that.
  • Show-me mentality - your influence comes from the code you ship, demoed on Fridays like everyone else. 
What you'll own:
  • The hardest problems in any squad platform architecture decisions (event bus, plugin lifecycle, multi-tenancy, RBAC, schema registry) jointly with the engineering leader 
  • Pattern-setting reference implementations 
  • Training up the engineers around you - you raise the whole team's level unblocking, by writing code, not memos. 

Who you are:

  • A hacker in the best sense - self-starter, grit, thinks outside the box, loves solving complex problems, likes winning.
  • You quickly envision code and designs in your head, then prove them by building. You use AI throughout your development workflow 
  • Code generation, refactoring, test scaffolding, debugging - as a genuine velocity multiplier, and you've embedded AI inside products, not just used it as a tool. Change doesn't rattle you; new technology energizes you. 
What You Will Bring:
  • 12+ years hands-on, genuinely polyglot - fluent in 7+ languages across your career. Senior-level Go is mandatory; Python and TypeScript expected in the mix; a native/systems language a strong plus. 

  • Breadth across multiple technologies and verticals - you've shipped in more than one industry and more than one architectural era, and adapted fast each time. 

  • Deep understanding of high-capacity distributed systems and their failure physics - state management, race conditions, locking, contention, ordering, back-pressure. You've debugged these in production, not just read about them. 

  • Multiple messaging systems (NATS / Kafka / Redpanda / RabbitMQ-class) and multiple database types and backgrounds - relational, KV, document, columnar, graph - and you know which fits and why. 

  • Two clouds minimum, one deep; GCP strongly preferred as the deep one. 

  • Strong AI knowledge - LLMs, SLMs, RAG, knowledge graphs, agents, training/fine-tuning, eval - and hands-on experience working AI into code: building AI-powered features and using AI-assisted development to move exponentially faster. 

  • Troubleshooting/debugging master - the strongest debugger in the building. Reads unfamiliar code, a stack trace, or a flame graph and sees it. Knows where the breakpoint goes without flailing. 

  • Problem-solves quickly and trains up others as a multiplier - pattern-matches instantly on distributed systems, real-time audio, browser internals, AI pipelines, high-throughput data models. 

  • Floats by choice. Does not want to own a squad. Wants to own the hard 10%. 

  • Sets patterns by shipping the reference implementation, not by writing the doc. 

#LI-JF1 #LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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