Build and test AI agents for code assistance, documentation, test automation, and troubleshooting; integrate agents with internal tools and APIs; follow engineering practices; produce adoption guides.
Join our Team
About this opportunity:
As an AI Agent Developer Intern, you will help design and build intelligent agents that support real engineering workflows. You will work with experienced engineers to turn concrete business needs into AI-powered tools that automate tasks and improve developer productivity.
What you will do:
The skills you bring:
Nice to Have:
What You Will Gain
About this opportunity:
As an AI Agent Developer Intern, you will help design and build intelligent agents that support real engineering workflows. You will work with experienced engineers to turn concrete business needs into AI-powered tools that automate tasks and improve developer productivity.
What you will do:
- Implement and test AI agents for use cases such as code assistance, documentation support, test automation, and troubleshooting.
- Integrate agents with internal tools, services, and APIs under guidance from senior developers.
- Follow good engineering practices (Git, code reviews, basic logging/monitoring).
- Contribute short usage notes or guides to help engineers adopt the agents
The skills you bring:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Solid programming skills in at least one backend-oriented language (e.g., Python, Java).
- Basic understanding of web services/APIs (REST, JSON).
- Familiarity with Git and collaborative development.
- Strong interest in applying AI (LLMs, agents) to real engineering scenarios.
Nice to Have:
- Exposure to LLM-based tools or frameworks (e.g., LangChain, Kiro, OpenAI APIs, vector databases).
- Basic understanding of software testing and CI/CD concepts.
What You Will Gain
- Hands-on experience building AI agents on real engineering data and workflows.
- Practical understanding of how AI is integrated, evaluated, and adopted in a large engineering organization.
- Collaboration with AI-focused roles (e.g., AI champions, infrastructure developers, domain experts).
Ericsson Montréal, Québec, CAN Office
Ericsson Montreal AI & R&D Hub Office
8275 Route Transcanadienne, Ville Saint-Laurent, Montréal, Quebec, Canada, H4S 0B6
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