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Generative Ai Software Developer Jobs in Toronto, ON

Citi

Generative AI Developer

Mississauga, ON · On-site

CA$94K - CA$141K/yr

Job Overview We are looking for a skilled Generative AI Developer to join our Controls Technology ... software/AI development, with exposure to Generative AI and agentic AI. Experience delivering AI ...

Fidelity International

Software Developer

Toronto, ON · On-site +1

The role has a strong focus on generative AI, agentic AI and modern software engineering , while contributing to reusable Applied AI foundations that can be scaled across multiple business use cases.

Citi

AI Applied Senior Engineering Lead

Mississauga, ON · On-site

CA$145K - CA$217K/yr

This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions ... Software Engineering: Strong grounding in modern engineering practices including Git, CI/CD ...

Autodesk

Principal AI Software Developer

Toronto, ON · On-site

... software engineering experience. Experience with AI Agent tools & frameworks Experience building and integrating MCP tools Experience building Agentic experiences and AI Automation Strong backend ...

Citi

Senior Agentic AI Engineer

Mississauga, ON · On-site

We are seeking an experienced Senior Generative AI Developer to help drive the design, development ... Required Technical Skills 4+ years of experience in AI/software development, including significant ...

Citi

Senior Agentic AI Engineer

Mississauga, ON

We are seeking an experienced Senior Generative AI Developer to help drive the design, development ... Required Technical Skills * 4+ years of experience in AI/software development, including ...

Citi

Senior Agentic AI Engineer

Mississauga, ON · On-site

We are seeking an experienced Senior Generative AI Developer to help drive the design, development ... Required Technical Skills 4+ years of experience in AI/software development, including significant ...

Motion Recruitment

AI Engineer

Toronto, ON

Contract Duration: 6 Months Required Skills & Experience * 7+ years of software engineering experience * Hands-on experience developing Generative AI applications and solutions * Experience working ...

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Generative Ai Software Developer information

What is the difference between Generative Ai Software Developer vs Machine Learning Engineer?

AspectGenerative Ai Software DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; knowledge of AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, focuses on generative models like GANs, VAEsDesigns and implements ML algorithms, works on predictive models
Industry UsageTech companies, startups, research labs focusing on generative contentVarious industries including finance, healthcare, tech for predictive analytics

While both roles involve AI and machine learning, Generative Ai Software Developers specialize in creating models that generate content, whereas Machine Learning Engineers focus on building predictive algorithms across diverse applications.

Infographic showing various Generative Ai Software Developer job openings in Toronto, ON as of September 2026, with employment types broken down into 9% Internship, 82% Full Time, and 9% Part Time. Highlights an 82% In-person, and 18% Remote job distribution.

Senior Generative AI Software Engineer

Toronto, ON • On-site

Apertera
See more jobs at Aperteraexternal

Full-time

Re-posted 20 days ago

Key responsibilities

  • Research, develop, and implement state-of-the-art LLM techniques and GenAI applications for translation use cases.

  • Collaborate with cross-functional teams to design technical roadmaps, develop prototypes, and deliver high-quality generative AI solutions.

  • Stay current with advancements in generative AI and LLM research, and contribute to industry knowledge through conferences and publications.

Job description

About Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values: 

  • Innovation
  • Dedication
  • Fanatical commitment to quality and service
  • Resourcefulness
  • Collaboration
About the Role

We are looking for a Senior Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will be working in an R&D Team which reports to the VP of AI Innovation with the objective to develop and implement state-of-the-art algorithms by fast prototyping. We expect our Senior Generative AI Engineer to stay current with the technological cutting edge and drive the application of LLM and GenAI to translation, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities
  • Research and implement state-of-the-art LLM techniques including continued pre-training, supervised fine-tuning, reinforcement learning from human or AI feedback (PPO, DPO, GRPO, etc.), and LLM deployment.
  • Work closely with our expert advisor to strategize, plan, and design technical roadmaps and features of GenAI products.
  • Develop prototypes of GenAI and LLM application to translation use cases.
  • Drive technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
  • Stay updated with the latest advancements and research trends in generative AI, attending conferences, workshops, and seminars, and actively contributing to the AI research community through publications and presentations
  • Work closely with DevOps Engineers, software engineers, designers, and product managers to understand project requirements, align on technical solutions, and deliver high-quality generative AI solutions that meet business objectives and user needs.
  • Communicate technical strategies effectively across teams and manage stakeholder expectations. 
Requirements
  • Master in Computer Science, Data Science, Statistics, or Engineering. PhD or equivalent experience is preferred.
  • 3+ years of industry experience developing GenAI and LLM applications.
  • Working knowledge and project-based record of all of the following: context engineering, RAG, SFT. 
  • Working knowledge and project-based record of at least one of the following:  continued pre-training, PPO/DPO/GRPO, Agentic systems (including harness engineering, MCP server, etc.).
  • Proficiency in programming languages such as Python, with experience in software development and version control systems (e.g., Git).
  • Hands-on experience with Huggingface APIs or Amazon Bedrock. Experience with both is preferred. 
  • Expert skills of PyTorch, TensorFlow, Pandas, etc.
  • Experience with cloud platforms like AWS, GCP, or Azure 
  • Excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross-functionally with diverse teams.
  • Self-driven, self-motivated with excellent time management skills
  • Excellent organizational, communication, and interpersonal skills
  • Ability to adapt to shifting priorities without compromising deadlines and momentum.

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