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Language Engineer Jobs in Ontario (NOW HIRING)

Royal Bank of Canada

Full Stack Developer

Toronto, ON · On-site

Basic understanding of Large Language Models (LLMs) and Generative AI concepts with eagerness to ... Programming Language), Programming Languages, Software Applications, Software Development Life ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

THOMSON REUTERS

Senior Research Engineer

Toronto, ON · Hybrid

Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named ... Hands-on experience in other programming language/scripting language and development stack (Java ...

Guidepoint

AI Engineer

Toronto, ON

You will develop and scale Generative AI-powered systems, including large language model (LLM ... The AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using ...

Bradken

Design Engineer

Toronto, ON

CA$80K - CA$90K/yr

French language capability. Additional Information This role is primarily office-based at our ... Reverse engineering activities * Mining or heavy industrial equipment design Applications that do ...

Bradken

Design Engineer

Toronto, ON · On-site

CA$80K - CA$90K/yr

French language capability. Additional Information This role is primarily office-based at our ... Reverse engineering activities * Mining or heavy industrial equipment design Applications that do ...

Royal Bank of Canada

Staff Data/AI Engineer

Toronto, ON · On-site

In this role, you will build and scale advanced data and ML engineering pipelines, agentic AI systems, and Large Language Model (LLM) applications. You will ensure solutions are secure and grounded ...

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

We hire engineers and specialists across a variety of AI research areas to drive the company ... Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks ...

GEI Consultants

AI Engineer

Concord, ON

CA$110K - CA$150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Guelph, ON

CA$110K - CA$150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Markham, ON

CA$110K - CA$150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Kitchener, ON

CA$110K - CA$150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Royal Bank of Canada

Lead AI Engineer

Toronto, ON · On-site

Ability to read and write in the French language is a plus What's in it for you? We thrive on the ... Engineering, Generative AI, Machine Learning (ML), Python (Programming Language), Quality ...

Thales

AJISS Program Engineer - Electrical

Ottawa, ON · Hybrid

As part of the AJISS Engineering team, the primary role of the Program Engineer - Electrical is to ... Language: English (Essential). Preferred Qualifications * 8 years of demonstrated professional ...

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All JobsLanguage Engineer JobsLanguage Engineer Jobs in Ontario

Language Engineer information

See Ontario salary details

$15

$53

$84

How much do language engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for language engineer in Ontario is $53.74, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $59.38 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a language engineer?

Language Engineers typically spend their days developing, testing, and improving language models and algorithms used in applications such as chatbots, voice assistants, and translation tools. They collaborate closely with data scientists, software engineers, and linguists to collect and annotate data, refine language processing workflows, and address real-world linguistic challenges. Regular tasks may include designing rule-based systems, implementing machine learning models, evaluating system performance, and troubleshooting language-specific issues. This role often requires balancing independent work with team collaboration to ensure language technologies meet both technical and user experience goals.

What is a language engineer?

A Language Engineer designs, develops, and optimizes language-related technologies, such as natural language processing (NLP) models, speech recognition systems, and machine translation tools. They work with linguistic data, improve language models, and create rules and algorithms to enhance text and speech processing. This role often involves collaborating with software engineers, data scientists, and linguists to refine language-based AI systems. Language Engineers also help expand language support for AI applications by curating datasets and improving system accuracy.

What does a language engineer do?

A language engineer develops and improves natural language processing (NLP) systems, such as speech recognition, translation, and chatbots. They work with linguistic data, machine learning models, and programming tools to create systems that understand and generate human language effectively.

What are the key skills and qualifications needed to thrive in the language engineer position, and why are they important?

To thrive as a Language Engineer, you need a strong background in computational linguistics, natural language processing (NLP), and programming languages such as Python or Java, often supported by a degree in computer science, linguistics, or related fields. Familiarity with NLP libraries (e.g., NLTK, spaCy), machine learning frameworks, and tools for text annotation and data processing is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills are crucial soft skills in this role. These competencies enable Language Engineers to build robust language models, collaborate across interdisciplinary teams, and address complex language-related challenges in technology products.

How much do language engineers make?

Language engineers typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in natural language processing and machine learning can command higher salaries. Compensation may also include benefits such as bonuses and stock options.
What are popular job titles related to Language Engineer jobs in Ontario? For Language Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Language Engineer jobs in Ontario look for? The top searched job categories for Language Engineer jobs in Ontario are:
Language Engineer jobs near you
Infographic showing various Language Engineer job openings in Ontario as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $111,769 per year, or $53.7 per hour.

Full Stack Developer

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Re-posted 26 days ago

Job description

Job Description

WHAT IS THE OPPORTUNITY?

Join a high-performing team transforming RBC's Merchant Payment System. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable, secure solutions powering next-generation merchant payment capabilities. This role spans both modern full-stack development and Mainframe-based payment processing, offering a unique opportunity to bridge legacy and cloud-native architectures. Expect rapid growth through hands-on modernization work, emerging AI technologies, and strong mentorship every step of the way.

WHAT WILL YOU DO?

  • Participate in technical analysis and solution design under senior guidance, contributing to sprint planning, estimation, and Agile delivery

  • Translate business requirements into user stories and technical designs with mentorship from architects and senior developers

  • Develop and maintain enterprise-grade Spring Boot microservices, React front-end applications, and RESTful APIs

  • Build and support cloud-native, containerized, and Linux-based microservice solutions

  • Deliver solutions using Agile methodologies through CI/CD pipelines with full deployment support

  • Conduct peer code reviews, unit and integration testing, and participate in all phases of software development

  • Learn and adopt best practices, security standards, and performance benchmarks for financial-grade systems

  • Support Merchant Payment teams by applying and growing foundational knowledge in Generative AI and LLMs

  • Work on Mainframe-based payment processing systems under senior guidance, learning core Mainframe technologies while bridging legacy and modern architectures.

WHAT DO YOU NEED TO SUCCEED?

Must have:

  • 3-4 years of hands-on experience (or strong internship/co-op) in Java / Spring Boot and React or similar front-end frameworks

  • Proficiency in Node.js or Python, and SQL with familiarity in relational databases

  • Experience building and consuming RESTful APIs with multi-system integration

  • Exposure to CI/CD pipelines, automated testing concepts, and Agile delivery practices

  • Basic knowledge of cloud platforms (OpenShift, AWS S3, or Azure) and comfort working in Linux-based environments

  • Basic understanding of Large Language Models (LLMs) and Generative AI concepts with eagerness to apply them

  • Fast learner who is results-oriented, self-motivated, and effective working both independently and in a team

Nice-to-have:

  • Exposure to containerization technologies (Docker, Kubernetes)

  • Hands-on experience with OpenShift, AWS S3, or Azure beyond the basics

  • Familiarity with Identity/Access Management (Entra) or NoSQL/legacy databases (MongoDB, DB2)

  • Prior exposure to FastAPI or similar frameworks and interest in applying AI/ML tools in enterprise development

  • Exposure to Mainframe technologies (COBOL, JCL, CICS, or DB2 on z/OS), or a strong willingness to learn and work on Mainframe-based payment systems

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • A world-class training program in financial services

  • Flexible work/life balance options

  • Opportunities to do challenging work

  • Opportunities to take on progressively greater accountabilities

  • Opportunities to build close relationships with clients

#LI-POST

#TECHPJ

Job Skills

Active Learning, Application Integrations, Detail-Oriented, Group Problem Solving, Java (Programming Language), Programming Languages, Software Applications, Software Development Life Cycle (SDLC), Technical Software

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-13

Application Deadline:

2026-08-03

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

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