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About the Role
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.
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
Requirements
- 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)
Location
- Toronto, Canada
Work Type
- Experienced-level position (early career)
Experience Level
- Early career
- 2-8 years
Education Level
- Bachelor's or Master's degree in Computer Science, Electronics, Mathematics, Data Science, or a related quantitative discipline
Salary/Compensations
- Ontario: $80,500-105,525 CAD
- Annual bonus opportunity
Benefits
- Choice of 3 medical and dental plan options
- Core level medical and dental coverage paid for by Ericsson
- Group Retirement & Savings Program with automatic 2% company contribution
- 50% match of employee's contribution to RRSP, up to 8% of employee contribution (maximum 4% match)
- Basic life insurance and basic accidental death and dismemberment coverage at two-times annual base pay
- Short-term disability coverage
- Optional participation in Ericsson’s Stock Purchase Plan
- 18 days of accrued vacation
- 3 personal days
- 10 holidays
- 1 volunteer day
- Sick days
- Up to 10 weeks of paid maternity leave
- 6 weeks of parental or adoption leave at 100% of pay
- Financial wellness programs
- Educational assistance
- Matching gifts
- Wellness account
- Recognition programs
About the Company
- Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position.
- 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.
- 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.
- If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.
Equal Opportunity
- Ericsson is proud to be an Equal Opportunity employer, learn more.