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Co op Agentic AI Development

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Hybrid
Ottawa, ON
Entry level
Hybrid
Ottawa, ON
Entry level

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Develop agentic AI applications for Ericsson’s 5G RAN test management and verification processes. Responsibilities include building AI agents, implementing MCP servers and clients, integrating LLMs with prompting and guardrails, troubleshooting and documenting testing issues, and improving test effectiveness. The role requires experience with GenAI or LLM workloads, AWS, Kubernetes, Docker, LangChain, LangGraph, RAG, vector databases, and Python, Bash, or SQL automation.
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Agentic I Developing Co-Op
Location: Ottawa, ON.
Duration: 12 - 16 months (for co-ops)
Start date: January 4, 2027
Please upload your unofficial transcript when applying. (Use the "Cover letter" uploading tab.) Please indicate in your resume or a cover letter how many months you are available for.
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 looking for a motivated and technically advanced Co-op student to develop agentic AI application for test and verification aspect of Ericsson's 5G Radio Access Network (RAN) software product development. The successful candidate will work as a member of the Test management and OTA team in Ottawa.
What you will do:
  • Use state of art agent building tools to build and integrate AI agent for test management aspect in Ericsson 5G application
  • Implement MCP servers and clients to enable tool-calling, data access, and agent interoperability
  • Integrate and consume LLMs (e.g., OpenAI, Azure OpenAI, Gemini, Anthropic) with appropriate prompt design, grounding, and guardrails
  • Trouble shoot and document issues encountered during testing.
  • Improve test effectiveness to meet ever evolving verification needs.

The skills you bring:
  • Proven experience in DevOps/MLOps, with specialization in GenAI/LLM workloads
  • Strong expertise in cloud platforms (AWS)
  • Skilled in containerization & orchestration (Kubernetes, Docker)
  • Familiarity with LangChain, LangGraph, RAG patterns, vector DBs
  • Strong scripting and automation background (Python, Bash, SQL)

Nice to Have:
  • Hands-on deployment of open-source LLMs in production (Mistral, LLaMA, Phi, Qwen)
  • Knowledge of governance & compliance frameworks for AI/LLM in regulated industries
  • Knowledge of Communication theory, Wireless standards (4G/5G 3GPP), Radio architecture, and Interfaces is a plus

Eligibility requirements:
  • 2.7+ GPA on a 4.0 scale or equivalent
  • Uploading an unofficial copy of your transcript
  • Actively enrolled in an accredited undergraduate, master's, or PhD on a full-time basis at a four-year college or university at the time of the co-op
  • Be available to work 40 hours per week

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 [email protected].
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) || Ottawa (Country/ City)
Job details: Developer
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:
Bachelors: $25.5/hr CAD - $34.5/hr CAD
Masters: $37/hr CAD
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