As an Applied AI Engineer - Agentic Platform, you will design, development, and deploy AI agents that help solution our clients most critical business challenges and make a real impact and deliver tangible results.
The ideal candidate is experienced, with strong modeling skills, you're experienced with RAG, prompt orchestration, structured outputs, tool/function calling, agentic workflow, Also, you can take concepts and turn them into well-executed, shipped solutions.
You'll apply your creativity, problem-solving skills, and engineering mindset to accelerate enterprise AI adoption.
About the Work
- Design and implement production-grade multi-agent and agentic workflows using frameworks such as LangGraph.
- Partner with product and engineering teams to integrate features into production systems with reliability, efficiency, and scalability
- Automates workflows for model training, testing, deployment, and updates, following CI/CD best practices.
- Get up to speed quickly on our domain - you don't need prior experience, but you should be curious and quick to absorb complex workflows and terminology. Experience in industrial.
About You
- 5+ years of experience in Data Science or Machine Learning, with an expertise in GenAI or recommender systems
- Experience building and evaluating GenAI solutions, including at least one of: RAG, structured summarization/extraction, classification with LLMs, tool/function calling, or agentic workflows n
- Strong hands-on experience with Python, PyTorch or JAX, Hugging Face ecosystem, LangChain/LangGraph, vector databases, RAG pipelines, and prompt optimization frameworks.
- Familiar with AI design principles and curious about the evolution of AI and agentic products - no expert needed, just engaged and aware.
Bonus Points
- Knowledge of the latest AI and machine learning advancements in the manufacturing or industrial sector, with a strong commitment to driving continuous innovation.
- Hands-on experience with AI coding agents (e.g., Copilot, Claude Code).
- Self-driven - you proactively seek answers and explore solutions without waiting for direction.
- Understanding of Data Science workflows or industrial data.
About the Office
- All In, In Office - Centrally located at the corner of Yonge & St. Clair, we show up together, every weekday. Face-to-face time fuels our culture, speed, and creativity.
- Built for Growth - We're moving fast, keeping structure light, and rewarding people who take ownership and drive momentum.
If you're driven by applied AI, enjoy working in the future, and want to build data science solutions that make a real impact, we'd love to meet you.
