AI Engineer, Agentic Systems (Intern / Recent 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 role This 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

📌 AI Engineer, Agentic Systems (Winnipeg)
🏢 Chorus Ai
📍 Winnipeg