ZipRecruiter

Log In

1

Language Engineer Jobs in Ontario (NOW HIRING)

Netomi

Prompt Engineer

Toronto, ON

Strong understanding of natural language processing (NLP) and machine learning principles. * Experience with AI prompt engineering, including writing, optimizing, and evaluating prompts.

Apertera

Generative AI Engineer

Toronto, ON · On-site

Generative AI EngineerAbout Apertera Apertera is leading the evolution of language solutions for ... Collaboration About the Role We are looking for a Generative AI Engineer to develop our next ...

Amd

Performance Verification Engineer

Thornhill, ON · Hybrid

Scripting language experience: Perl, Ruby, Makefile, shell preferred. * Exposure to leadership or ... Bachelors or Masters degree in computer engineering/Electrical Engineering LOCATION: Vancouver ...

Lemurian Labs

About the Role We are building a domain-specific language and compiler toolchain for programming machine learning models. As a Senior DSL Compiler Engineer, you will focus on the compiler frontend ...

L3HHCM20

ILS Engineer

Ottawa, ON

ILS Engineer Job Location: Montreal, QC or Ottawa, ON Job Code: 37831 Job Schedule: Day Shift ... The English language, in addition to the French language, is necessary due to contractual ...

RBC

Background in natural language processing or machine learning research * Knowledge of emerging AI technologies (transformer architectures, prompt engineering techniques) Professional Skills

New

TEEMA Solutions Group

A rapid-growth technology firm in Toronto is seeking a Staff LLMOps Engineer to lead the design and optimization of large language model infrastructure on the cloud. The ideal candidate has over 6 ...

New

Zencargo

Strong skills in at least one modern programming language, such as TypeScript, JavaScript, Python, Java, Kotlin or C#. Some familiarity with Kotlin or Python, our primary languages, is valued but not ...

Workday

Principal AI Engineer

Toronto, ON · On-site

Engineering, but brighter. About the Role As a Principal AI Engineer in Agent Factory, you'll ... language models (LLMs), text generation models, and/or graph neural network models for real-world ...

Royal Bank of Canada

AI Engineer

Toronto, ON · Hybrid

Strong understanding of large language model architectures, inference, fine-tuning, and model ... Programming Language), Retrieval-Augmented Generation, Software Development Life Cycle (SDLC ...

Cprime

AI Engineer

Mississauga, ON · On-site

... Language Models (LLMs). * Generative AI & LLM Expertise: * Extensive hands-on experience with ... Programming & Data Engineering: * Strong programming proficiency in Python is a must, including ...

Karbon Digital

We leverage Large Language Models, agentic AI, retrieval systems, and intelligent workflows to help ... You'll be the senior engineering leader responsible for architecture, product execution, AI ...

Alquemy

Full Stack Engineer

Toronto, ON · On-site

Full Stack Engineer About the Role We are seeking an Full Stack Engineer to design, develop, deploy, and support AI-powered applications using modern large language model (LLM) technologies. You will ...

Royal Bank of Canada

Senior Data Engineer

Toronto, ON

CA$80K - CA$130K/yr

Ability to read and write in the French language is a plus What's in it for you? We thrive on the ... Engineering, Data ETL, Data Mining, Data Warehousing (DW), Group Problem Solving, Python ...

GAL AeroStaff

EMC Engineer

Mississauga, ON

Position Overview We are seeking an experienced EMC Engineer to support aircraft-level ... Permanent, Full-time Schedule: 40 hours per week Language : English Benefits * Casual dress

previous pagenext page

Showing results 21-40

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.

Prompt Engineer

Netomi

Toronto, ON

Full-time

Posted 12 days ago

Job description

About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world's largest global brands do business? Join us!

About the Role

We are looking for a Prompt Engineer to craft, optimize, evaluate, and benchmark prompts for enhanced AI performance at Netomi. This role requires expertise in NLP, AI behavior, and customer-specific business rules. You will collaborate with the Customer Success team and data scientists to develop customized, effective AI solutions.

Responsibilities

  • Prompt Development: Design and refine client-specific prompts, ensuring accuracy and relevance. Define tool descriptions for agentic frameworks to enhance AI interactions.

  • Optimization & Testing: Improve prompts for clarity and performance, automate testing with scripts, and evaluate LLMs for best-fit solutions.

  • Evaluation & Benchmarking: Develop evaluation frameworks and benchmark prompts to establish best practices.

  • Collaboration & Documentation: Work with Customer Success and Data Science teams, maintaining clear documentation on prompt development and optimization.

  • Research & Innovation: Stay updated on NLP advancements, experiment with new prompting strategies, and refine model-specific adaptations.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Linguistics, or a related field.

  • Strong understanding of natural language processing (NLP) and machine learning principles.

  • Experience with AI prompt engineering, including writing, optimizing, and evaluating prompts.

  • Proficiency in programming languages such as Python.

  • Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face).Excellent analytical and problem-solving skills.

  • Strong written and verbal communication skills.

  • Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

Nice to Have

  • Should have a minimum of 5 years of working in data science

  • Experience with large language models (e.g., GPT-3, GPT-4, Llama3) and their applications.

  • Knowledge of data visualization tools and techniques.

  • Background in linguistics or computational linguistics.

  • Experience with agile development methodologies.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
apply for this job

Apply