Services Professional (Early Career)

Ericsson

Toronto

On-site

CAD 81,000 - 106,000

Full time

7 days ago
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Job summary

Ericsson Canada Inc. in Toronto is seeking an Integration Engineer to help build AI-assisted software development, testing automation, and operational AI workflows.

You will design and implement AI-enabled solutions, develop agents for triage and remediation, and contribute to observability and incident analysis. You’ll work with cutting-edge ML and MLOps concepts, collaborate across teams, and continuously learn to drive meaningful improvements in large-scale systems.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electronics, Mathematics, Data Science, or a related quantitative discipline
  • Typically, 2-8 years of relevant experience. Candidates with additional experience can apply
  • Proficiency in Python, SQL, and basic software testing
  • Foundational knowledge of machine learning concepts: regression, classification, time-series analysis, and transformers
  • Hands-on experience with Scikit-learn or TensorFlow
  • Understanding of MLOps concepts: experiment tracking, model versioning, reproducibility, CI/CD for ML, and model monitoring
  • Familiarity with LLMOps concepts: prompt and version management, offline/online evaluation, and grounding versus hallucination fundamentals
  • Knowledge of AgentOps concepts: tool-based agents, orchestration versus autonomy, state management, and auditability
  • Understanding of fine-tuning concepts: when to fine-tune versus use RAG, LoRA/PEFT basics, and overfitting/forgetting risks
  • Knowledge of RAG architectures (preferred)

Responsibilities

  • Develop AI-assisted software development and testing automation
  • Build AI agents for operational workflows, including triage, remediation, and knowledge lookup
  • Support observability, incident analysis, and root cause analysis acceleration
  • Optimize workflows using Retrieval-Augmented Generation (RAG) and tool-using agents
  • Build evaluation systems, monitoring tools, and guardrails for AI systems
  • Plan and implement product configuration and integration work
  • Enhance documentation and operational runbooks using AI
  • Prepare system, module, and acceptance tests
  • Apply structured problem-solving and independent execution in ambiguous situations
  • Continuously acquire new knowledge through self-directed learning and experimentation
  • Identify and drive process improvements
  • Communicate clearly, articulating reasoning and simplifying complex ideas for diverse audiences

Skills

Python
SQL
Software testing
ML basics
Scikit-learn
TensorFlow
MLOps
LLMOps
AgentOps
LangGraph
LangChain
LlamaIndex
CrewAI
AutoGen
RAG architectures
Fine-tuning

Education

Bachelor's or Master's degree in CS/EE/Data Science

Tools

LangGraph
LangChain
LlamaIndex
CrewAI
AutoGen

Job description

Join our Team

At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position.

About This Opportunity We are building a next-generation engineering and operations ecosystem where AI serves as a collaborative tool — supporting teams in designing, building, testing, and running large-scale systems. This role is well-suited for early-career professionals who enjoy transforming ambiguous challenges into practical, AI-driven solutions and integrating them into real-world workflows. Based in Toronto, this is an experienced-level position (early career).

Join our TeamAt this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position.About This Opportunity We are building a next-generation engineering and operations ecosystem where AI serves as a collaborative tool — supporting teams in designing, building, testing, and running large-scale systems. This role is well-suited for early-career professionals who enjoy transforming ambiguous challenges into practical, AI-driven solutions and integrating them into real-world workflows. Based in Toronto, this is an experienced-level position (early career).

What You Will Do

  • Develop AI-assisted software development and testing automation
  • Build AI agents for operational workflows, including triage, remediation, and knowledge lookup
  • Support observability, incident analysis, and root cause analysis acceleration
  • Optimize workflows using Retrieval-Augmented Generation (RAG) and tool-using agents
  • Build evaluation systems, monitoring tools, and guardrails for AI systems
  • Plan and implement product configuration and integration work
  • Enhance documentation and operational runbooks using AI
  • Prepare system, module, and acceptance tests
  • Apply structured problem-solving and independent execution in ambiguous situations
  • Continuously acquire new knowledge through self-directed learning and experimentation
  • Identify and drive process improvements
  • Communicate clearly, articulating reasoning and simplifying complex ideas for diverse audiences

The Skills You Bring

  • Bachelor's or Master's degree in Computer Science, Electronics, Mathematics, Data Science, or a related quantitative discipline
  • Typically, 2-8 years of relevant experience. Candidates with additional experience can apply
  • Proficiency in Python, SQL, and basic software testing
  • Foundational knowledge of machine learning concepts: regression, classification, time-series analysis, and transformers
  • Hands-on experience with Scikit-learn or TensorFlow
  • Understanding of MLOps concepts: experiment tracking, model versioning, reproducibility, CI/CD for ML, and model monitoring
  • Familiarity with LLMOps concepts: prompt and version management, offline/online evaluation, and grounding versus hallucination fundamentals
  • Knowledge of AgentOps concepts: tool-based agents, orchestration versus autonomy, state management, and auditability
  • Understanding of fine-tuning concepts: when to fine-tune versus use RAG, LoRA/PEFT basics, and overfitting/forgetting risks
  • Knowledge of RAG architectures (preferred)
  • Familiarity with agent frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or AutoGen (preferred)

Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.

Primary country and city: Canada (CA) || Toronto (Country/ City)

Job details: Integration Engineer

Compensation And Benefits At Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.

Your Pay The salary offered is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.

The salary range for this position is

  • Ontario: $80,500-105,525 CAD

Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.

Your Health Ericsson offers excellent health benefits including the choice of 3 medical and dental plan options that allow an employee to select the level of coverage that suits their needs. Core level coverage is paid for fully by Ericsson.

Your Financial Security We invest in both your short and long-term financial wellbeing. Ericsson’s Group Retirement & Savings Program offers an automatic 2% company contribution into the Pension Plan. Ericsson also offers a 50% match of employee’s contribution into the Registered Retirement Savings Plan, up to 8% of the employee’s contribution (maximum of 4% match). This leads to a total company contribution potential of 6%. Employees will also receive basic life insurance and basic accidental death and dismemberment coverage at two-times annual base pay at no cost, as well as short-term disability coverage. Employees also have the option to participate in Ericsson’s Stock Purchase Plan.

Your Time Your work-life balance is important to us. New employees are provided a minimum of 18 days of accrued vacation, plus at least 3personal days, minimum 10 holidays, 1 volunteer day, and sick days. Please note paid time off is pro-rated based on the employee’s start date. Furthermore, Ericsson provides up to 10 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.

Additional Benefits Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, wellness account, and recognition programs.

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