Applied AI Engineer

The Headhunters Recruitment • Full-time • Toronto, ON, CA • 11h ago

We’re looking for a remote Applied AI Engineer in the Artificial Intelligence and Machine Learning industry.

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

The successful candidate has:

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

Compensation and benefits:

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

Candidates must be legally authorized to work in Canada. Only candidates selected to move forward in the hiring process will be contacted.

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