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Applied AI Engineer
Toronto, ON | Fully Remote
Job Description
Our client is building a next-generation AI platform designed to transform how billions of people interact with everyday productivity tools such as email, notes, tasks, and workflows. Their mission is to create a proactive, intelligent assistant that helps users complete real-world tasks with minimal prompting, enabling meaningful productivity gains through advanced AI capabilities.
This is an opportunity to join a small, world-class team focused on solving some of the most challenging problems in applied AI, including long-running workflows, persistent memory, agentic systems, and reliable task completion. The Applied AI Engineer will be responsible for bridging advanced AI capabilities with real-world product experiences, ensuring AI systems perform reliably, efficiently, and predictably in production environments.
Applied AI Engineer responsibilities:
- Build and ship AI-powered features from model development through to production deployment and user experience
- Design, develop, and optimize prompts, agent workflows, memory systems, and tool integrations
- Transform raw model outputs into structured, reliable, and predictable product behaviours
- Debug and resolve issues across the AI stack, including models, orchestration systems, infrastructure, and user experience
- Optimize AI systems for performance, latency, scalability, cost efficiency, and production reliability
- Develop lightweight evaluation frameworks and metrics to measure real-world model and system performance
- Collaborate closely with product, engineering, and research teams to translate ambiguous problems into effective solutions
- Support the deployment, monitoring, and maintenance of machine learning models and inference systems
- Drive continuous improvement through experimentation, iteration, and data-driven decision-making
- Contribute to the development of robust, maintainable, and reproducible AI infrastructure and workflows
- Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Engineering, Mathematics, or a related field
- Strong foundation in machine learning, deep learning, and modern neural network architectures
- Hands-on experience training, fine-tuning, evaluating, or deploying machine learning models
- Advanced proficiency in Python and experience writing clean, production-quality code
- Experience working with large language models (LLMs) including OpenAI-style APIs, LLaMA, Qwen, or related technologies
- Experience with AI development frameworks and tools such as PyTorch, JAX, vector databases, and inference platforms such as vLLM
- Ability to work across multiple abstraction layers, from model development and infrastructure through to product implementation
- Strong problem-solving and analytical abilities in fast-moving, ambiguous environments
- Demonstrated ability to deliver production-ready solutions and iterate based on real-world user feedback
- Experience with Retrieval-Augmented Generation (RAG), agentic AI systems, workflow orchestration, or autonomous agents is considered a strong asset
- The discussed salary range is $120,000 - $170,000, depending on experience
- Candidates with additional experience and higher compensation expectations may also be considered
- Senior, top-tier GenAI specialists with significant LLM, RAG, and Agentic AI experience may be considered for compensation ranging from $170,000 - $210,000, depending on experience
- Fully remote working arrangement
- Opportunity to work alongside a highly talented team building cutting-edge AI technology at global scale
- Significant opportunity for professional growth and impact on a rapidly evolving product
Meet Your Recruiter
Tania McMahon
Senior Recruitment Consultant & Team Lead, Head of Coaching
Marketing & Information Technology (IT)
Tania is a seasoned leader with over two decades of experience in recruitment, hospitality, events and marketing. Specializing in the placement of marketing and information technology professionals across Canada, she brings a wealth of expertise derived from her multifaceted career.
With a comprehensive understanding of both union and non-unionized environments, Tania has demonstrated a remarkable ability to identify, hire, train and retain highly successful teams across various sectors. A confident and articulate communicator, she excels at building and maintaining strong relationships with clients, stakeholders and colleagues. This collaborative approach, combined with her ability to orchestrate strategic solutions and her passion for nurturing talent, underscore her status as a leader in the recruitment industry.
Tania is an accredited success and mindset coach and has completed an accelerated MBA with a marketing focus. She is a fundraising event expert for local children’s charities and hospitals, and a proud mom of two sons who are making their mark on the world. In her spare time, she is often found travelling, kayaking or exploring the outdoors with her puppy.