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Entry Level Language Engineer Jobs in Toronto, ON

Randstad Canada

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Preferred * Exposure to machine learning, generative AI, or large language models through ...

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Entry Level Language Engineer information

What does an entry level language engineer do?

An Entry Level Language Engineer works on developing and improving language-related technologies such as speech recognition, natural language processing (NLP), and text-to-speech systems. Their responsibilities typically include data annotation, developing language models, analyzing linguistic data, and supporting senior engineers in implementing language solutions. They often collaborate with software engineers, linguists, and data scientists to enhance the performance and accuracy of language-based applications. This role serves as a foundation for gaining hands-on experience in computational linguistics and AI-driven language systems.

What are the key skills and qualifications needed to thrive as an entry level language engineer?

To thrive as an Entry Level Language Engineer, you generally need a background in linguistics, computer science, or a related field, with strong programming skills in languages like Python or Java. Experience with natural language processing (NLP) frameworks, machine learning libraries, and tools such as NLTK, spaCy, or TensorFlow is highly valuable. Attention to detail, analytical thinking, and effective communication are standout soft skills for this role. These competencies are essential for developing robust language models and collaborating efficiently on interdisciplinary teams to solve complex language-related challenges.

What are some common challenges faced by entry level language engineers when working on natural language processing projects?

Entry level language engineers often encounter challenges such as understanding complex linguistic phenomena, handling large and messy datasets, and adapting to rapidly evolving NLP tools and frameworks. Collaborating with data scientists, linguists, and software engineers is crucial to ensure accurate model development and deployment. Learning to balance the theoretical aspects of language with practical implementation is key, as is staying updated with industry best practices and advancements. Proactive communication and a willingness to learn from more experienced team members help in overcoming these initial hurdles.

What is the difference between Entry Level Language Engineer vs Junior Software Developer?

AspectEntry Level Language EngineerJunior Software Developer
Required CredentialsBachelor's in Computer Science or related field, basic programming skillsBachelor's in Computer Science or related field, coding experience
Work EnvironmentTech companies, research labs, language processing teamsSoftware firms, tech startups, IT departments
Employer & Industry UsageUsed in NLP, AI, speech recognition projectsUsed across various software development projects
Common Search & ComparisonOften compared for entry-level roles in language processingMore general, but frequently compared in entry-level software roles

Entry Level Language Engineers focus on natural language processing, speech recognition, and AI language models, requiring knowledge of linguistics and programming. Junior Software Developers have broader coding responsibilities across software applications. While both roles require foundational programming skills and a bachelor's degree, Entry Level Language Engineers specialize in language technologies, making them distinct in industry applications.

What are popular job titles related to Entry Level Language Engineer jobs in Toronto, ON?

For Entry Level Language Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Language Engineer jobs in Toronto, ON look for?

The top searched job categories for Entry Level Language Engineer jobs in Toronto, ON are:

Entry Level Language Engineer jobs near you

Cloud/AI Platform Engineer

Randstad Canada

Toronto, ON • On-site

CA$75K - CA$141K/yr

Full-time

Medical, Life, Retirement

Posted yesterday

New

Job description

Application Deadline:

08/29/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology
AI Platform Engineer (New Graduate)

Location: Toronto, ON (Hybrid)
Job Type: Full-Time
Experience Level: New Graduate / Entry Level

About the Role

Are you looking to make your mark in AI? Are you an AI thought leader?

We are seeking a passionate and curious AI Platform Engineer (New Graduate) to help build, operate, and scale the next generation of AI infrastructure and platforms. This role is ideal for recent university graduates who are excited about cloud computing, artificial intelligence, machine learning platforms, developer tools, and large-scale distributed systems.

It's an opportunity that can make you an AI leader at BMO.

As an AI Platform Engineer, you will work with experienced engineers and data scientists to create reliable, secure, and scalable platforms that enable AI applications and machine learning workloads across the organization.

This is an opportunity to learn from industry experts while contributing to cutting-edge AI solutions that drive real business impact.

What You'll Do
  • Build and maintain cloud-native platform services that support AI and machine learning workloads.
  • Design and implement automation solutions using Infrastructure as Code (IaC).
  • Develop tools, APIs, and services that improve developer productivity and platform reliability.
  • Assist in deploying, monitoring, and scaling AI models and machine learning pipelines.
  • Collaborate with software engineers, data scientists, and product teams to operationalize AI solutions.
  • Monitor platform health and troubleshoot performance, reliability, and scalability issues.
  • Contribute to CI/CD pipelines and DevOps practices for AI and platform engineering teams.
  • Participate in system design discussions and code reviews.
  • Learn and apply best practices around security, observability, governance, and cloud architecture.
QualificationsRequired
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical field completed within the last 12 months.
  • Strong programming skills in one or more languages such as:
    • Python
    • Go
    • Java
    • C#
  • Understanding of software engineering fundamentals, including:
    • Data structures and algorithms
    • Object-oriented design
    • REST APIs
    • Version control (Git)
  • Familiarity with Linux operating systems and scripting.
  • Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
Preferred
  • Exposure to machine learning, generative AI, or large language models through coursework, projects, or internships.
  • Experience with containers and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with MLOps concepts and tools.
  • Understanding of CI/CD practices and automation.
  • Experience with infrastructure-as-code tools such as Terraform.
  • Contributions to open-source projects, hackathons, research, or personal technical projects.
What You'll Learn
  • AI platform architecture and operations at scale.
  • Cloud-native application design and deployment.
  • MLOps, LLMOps, and AI governance best practices.
  • Platform engineering and site reliability engineering principles.
  • Secure software development and enterprise cloud operations.
What We're Looking For

We're looking for individuals who:

  • Are naturally curious and eager to learn.
  • Enjoy solving challenging technical problems.
  • Thrive in collaborative environments.
  • Take ownership of their work and seek continuous improvement.
  • Are excited about the future of AI and cloud technologies.
  • Critical Thinking
  • Building and managing relationships.
  • Adaptability.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Data driven decision making.

Nice-to-Have Technical Skills

  • Azure AI Services, Azure Machine Learning, or Azure Kubernetes Service (AKS)
  • Kubernetes, Docker, Helm
  • Terraform or Bicep
  • GitHub Actions or Azure DevOps
  • Prometheus, Grafana, OpenTelemetry
  • PostgreSQL, Redis, or NoSQL databases
  • LangChain, Semantic Kernel, or other AI frameworks
  • Retrieval-Augmented Generation (RAG) concepts

Salary:

$75,900.00 - $141,900.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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