Services Professional

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 designed for early-career professionals who can transform ambiguous challenges into practical AI-driven solutions and integrate them into real workflows.

Develop AI-assisted software development and testing automation Create 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 Enhance documentation and operational runbooks using AI Apply structured problem-solving and independent execution in ambiguous situations Rapidly acquire new knowledge through self-learning and experimentation Communicate clearly, articulating reasoning and simplifying complex ideas   The skills you bring Bachelor's or Master's degree in Computer Science, Electronics, Mathematics, Data Science, or any quantitative discipline Proficiency in Python, SQL, and basic testing Machine learning fundamentals (Regression, Classification, Time-series, Transformers) Experience with Scikit-learn or TensorFlow MLOps concepts: experiment tracking, model versioning, reproducibility, CI/CD for ML, model monitoring LLMOps concepts: prompt/version management, offline/online evaluation, grounding vs hallucination basics AgentOps concepts: tool-based agents, orchestration vs autonomy, state management, auditability Fine-tuning concepts: when to fine-tune vs RAG, LoRA/PEFT basics, overfitting/forgetting risks Knowledge of RAG Architectures (preferred) Familiarity with agent frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or AutoGen (preferred) Experience with Docker, CI/CD, cloud platforms, and databases like Postgres or Opensearch (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