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Services Professional (Early Career)

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
Experience
Typically, 2-8 years of relevant experience.
Posting language
English
Posted

Original 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).

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.

What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.

Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.  Ericsson is proud to be an Equal Opportunity employer, learn more.

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

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.

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.

More about this job

Responsibilities

Develop AI-assisted software and automation tools while building AI agents to optimize operational workflows. Support system observability, incident analysis, and the implementation of product configuration and integration tasks.

Requirements

Requires a Bachelor's or Master's degree in a quantitative discipline and 2-8 years of relevant experience. Candidates must possess proficiency in Python, SQL, and foundational knowledge of machine learning, MLOps, and LLMOps concepts.

Skills

  • Python
  • SQL
  • Software testing
  • Machine learning
  • Scikit-learn
  • TensorFlow
  • MLOps
  • LLMOps
  • AgentOps
  • RAG
  • LangGraph
  • LangChain
  • LlamaIndex
  • CrewAI
  • AutoGen
  • Data science

Benefits

  • Health insurance
  • Dental plan
  • Pension plan
  • Life insurance
  • Accidental death and dismemberment coverage
  • Short-term disability coverage
  • Stock purchase plan
  • Paid vacation
  • Personal days
  • Paid holidays
  • Volunteer day
  • Sick days
  • Paid maternity leave
  • Paid parental leave
  • Financial wellness programs
  • Educational assistance
  • Matching gifts
  • Wellness account

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • AI
  • Software development
  • Automation
  • Python
  • SQL
  • Machine learning
  • Regression
  • Classification
  • Time-series analysis
  • Transformers
  • Scikit-learn
  • TensorFlow
  • MLOps
  • CI/CD
  • LLMOps
  • AgentOps
  • RAG
  • LangGraph
  • LangChain
  • LlamaIndex
  • CrewAI
  • AutoGen
  • Fine-tuning
  • LoRA
  • PEFT
  • Integration engineering
  • Observability
  • Incident analysis
  • Data science
  • Computer science

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