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Added 3 months ago
Engineering Manager
Greenspace Health
Remote, Canada
$140,000 to $155,000 CAD / year
Full-time · Remote
…data. Fluency in or ability to quickly ramp up in our stack: Python, JavaScript/TypeScript, Django, PostgreSQL, Redis,…
Added 2 months ago
Senior Generative AI Software Engineer
Apertera
Montreal, QC
Full-time
…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…
Added 2 months ago
Senior Generative AI Software Engineer
Apertera
Toronto, ON
Full-time
…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…
Added 9 days ago
Gen AI Developer
K&K Global Talent Solutions INC.
Mississauga, ON
Full-time
We are looking for an experienced and innovative Generative AI Developer to design, develop, and deploy intelligent AI-driven applications. The ideal candidate should have strong expertise…
Added 10 days ago
Senior Software Engineer
Randstad Digital
Toronto, ON
Contract
We are seeking a proactive, full-stack Python & AI Developer to join the Equities Technology team's Applied AI Initiative. In this role, you will drive an "AI-first" engineering culture by…
Added 3 months ago
AI Model Validator
BNP Paribas
Montreal, Quebec
Full-time
Programming experience in statistical or mathematical languages such as Python or R, and hands‑on experience with version‑control systems like GitHub.
Added 10 days ago
Oliver Wyman - Analyst – Data and Analytics Team - Toronto
Marsh McLennan
Toronto, ON
Full-time
Validating a customer-facing GenAI chatbot for an American bank
Added 3 months ago
Senior Data Scientist
DAC
Toronto, Ontario
Full-time
Explore AI and GenAI applications to enhance analytical capabilities and client solutions
Added 10 days ago
AI Test Engineer
RBC
Montreal, QC
Full-time
Very good Python-coding skills, with focus on using GenAI tools for testcase generation and coding
Added 10 days ago
Senior Machine Learning / AI Engineer
INETCO Systems Ltd.
Vancouver, BC
Full-time
Strong experience with Python and common machine learning frameworks.
Added 2 months ago
Technical Lead - Five9
TELUS Digital
Remote, Canada
$132,000 to $165,000 CAD / year
Full-time · Remote
Five9 certification(s) (e.g., Five9 Administrator, Implementation, or Application Developer), or progress toward certification.
Added 10 days ago
Applied Machine Learning Scientist II
TD
Toronto, ON
Full-time
Exposure to GenAI or large language models and their practical applications
Added 10 days ago
AI Test Engineer
Royal Bank of Canada
Montreal, QC
Full-time
Very good Python-coding skills, with focus on using GenAI tools for testcase generation and coding
Added 4 months ago
Consultant, Data and AI Analytics
CIBC
Toronto, Ontario
Full-time
…least 2 years of Azure Databricks and at least 1-2 years with GenAI like Microsoft Co-Pilot Studio; coupled with at least 4 years of SQL and Python experience. It’s an asset if you have C#…
Added 10 days ago
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
Contract
The successful candidate will bring expert-level Python and SQL skills, combined with deep hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD, MLOps, model…
Added 9 days ago
SimCorp Dimension (SCD) Specialist
Munich Re
Toronto, ON
Experience in Cloud infrastructure (MS Azure), API usage is a plus (SQL, Python, JSON)
Added 10 days ago
AI Engagement Lead
Tiger Analytics Inc.
Remote, Canada
Full-time · Remote
Lead AI/GenAI engagements from discovery and solution definition through development, deployment, and production.
Added 10 days ago
Data Engineer
Synpulse
Toronto, ON
Proficiency in SQL and Python; knowledge of Spark, PySpark, Scala, or Java is a strong asset.
Added 10 days ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
Full-time
…ambigus en systèmes d'IA fonctionnels. En tant qu'ingénieur GenAI/ML au sein de l'équipe FDE, vous serez amené à…
Added 10 days ago
Gen AI Engineer
Apptoza Inc.
Toronto, ON
Contract
We are seeking a GenAI Developer with 5-8 years of experience in designing, developing, and deploying AI-driven solutions. The ideal candidate should have strong expertise in Generative AI,…
Added 11 days ago
Senior AI Agent Engineer (Agentic AI & Multi-Agent Systems)
Synechron
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
Knowledge of productionizing GenAI applications.
Added 4 months ago
Software Dev. Sr. Specialist Advisor
NTT DATA North America
Toronto, Ontario
Full-time
…Domains such as Healthcare/ Finance/ Retail etc. You will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise…
Added 4 months ago
Machine Learning Engineer
FactualIQ
Remote, Canada
$160,000 to $190,000 CAD / year
Full-time · Remote
5+ years of experience building and deploying ML models in production environments, with recent hands-on experience in LLM or GenAI systems.
Added 2 months ago
AI/ML Engineer Intern (2027)
Georgian Partners Growth
Remote, Canada
Internship · Remote
Hands-On Foundation: Familiarity with deep learning toolkits such as Scikit-learn, TensorFlow, or PyTorch. Understanding of GenAI, LLM tooling and Context Engineering fundamentals.
Added 4 months ago
Software Architect - AI Accelerated Engineering Lead / Architecte Logiciel
Slalom
Montreal, Quebec
Full-time
Gérer des équipes pilotées par GenAI : orchestrer des environnements multi-développeurs où agents IA et ingénieurs collaborent - en assurant productivité, qualité et adoption responsable.

Apertera

Senior Generative AI Software Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 21, 2026
Experience: 3+ years of industry experience developing GenAI and LLM applications.
Posting language: English
Posted: Jul 23, 2026

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Original 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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More about this job

Responsibilities

Develop next-generation intelligent translation engines using GenAI and LLM technologies through fast prototyping. Research and implement state-of-the-art techniques such as SFT and reinforcement learning while collaborating with cross-functional teams.

Requirements

Requires a Master's or PhD in Computer Science or a related field with 3+ years of industry experience in GenAI and LLM applications. Must be proficient in Python and deep learning frameworks with a proven track record in RAG and SFT.

Skills

Generative AI
Large Language Models
Python
PyTorch
TensorFlow
RAG
Supervised Fine-Tuning
Context Engineering
Huggingface APIs
Amazon Bedrock
Deep Learning
Natural Language Processing
AWS
Git
Pandas
Reinforcement Learning

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
Translation
Deep Learning
Machine Learning
NLP
Big Data
PPO
DPO
GRPO
Agentic Systems
MCP Server
Python
Git
Huggingface
Amazon Bedrock
PyTorch
TensorFlow
Pandas
AWS
GCP
Azure
SFT
RAG
Context Engineering
ISO 17100
SOC 2

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