Ai Engineer, Agentic Systems (Intern / New Grad)

AI Engineer, Agentic Systems (Intern / New Grad)Applied AI / LLM Systems / Financial Intelligence Canada Remote Internship or Full-Time (Early-Career) CAD 90,000 - 150,000
Recent graduates are welcome.
About the roleThis is not a passive support role. You will work on product-facing AI problems across agentic systems, NLP, financial intelligence, intelligent automation, and applied machine learning. We want someone who does not just study models, but knows how to turn ideas into systems that are useful, reliable, and differentiated.
We are especially interested in candidates who have already built things in practice through startup work, research implementation, open-source contributions, independent projects, or deployed products.
What you'll do
Design and build agentic AI systems for financial analysis, research workflows, and trading-related intelligence
Develop production-oriented AI pipelines involving reasoning, tool use, orchestration, retrieval, summarization, extraction, and decision support
Build and improve NLP systems for financial text understanding, sentiment analysis, summarization, classification, and structured information extraction
Work with both structured and unstructured data, including market data, news, financial documents, and research content
Prototype quickly, evaluate rigorously, and iterate toward systems that create real product value
Collaborate closely with engineering and product teams to integrate AI capabilities into live user-facing workflows
Improve model and system performance across accuracy, latency, reliability, scalability, and efficiency
Explore frontier ideas in LLMs, agents, neural networks, retrieval, and intelligent automation, and help turn them into practical product advantages
What we're looking for
Currently completing, or recently completed, a Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
Strong foundation in machine learning, neural networks, NLP, and pattern recognition
Strong programming ability in Python
Solid software engineering fundamentals and the ability to write clean, maintainable, production-minded code
Hands-on experience building AI systems beyond academic coursework
Experience with LLM applications, agentic workflows, AI agents, retrieval systems, tool-calling systems, or intelligent automation
Strong problem-solving ability and comfort working in ambiguous, fast-moving environments
Ability to independently build, test, and ship meaningful technical work
Strong signals
Shipped AI features, prototypes, or products with real users
Built agentic systems or multi-step LLM workflows
Contributed to meaningful open-source projects
Maintained strong GitHub repositories with clear technical depth
Built end-to-end personal or research projects with measurable outcomes
Experience with PyTorch, Hugging Face, scikit-learn, TensorFlow, or similar tools
Familiarity with backend integration, APIs, cloud deployment, or production pipelines
Exposure to fintech, market data, financial documents, trading systems, or research workflows
Who this role is for
Work on ambitious AI problems with direct product impact
Build at the frontier of agentic AI and applied intelligence systems
Operate in a team that values innovation, speed, technical depth, and execution
Own meaningful work early and help shape systems, not just tasks
#J-18808-Ljbffr