Staff Machine Learning Engineer –AI & Agentic Systems

Canada·Torontolead

OtherStaff Machine Learning Engineer

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

validation, error handling, retries, fallbacks, logging,

Technical Tools

OtherStaff Machine Learning Engineer

Company: Project X Ltd.
Location: Toronto, Ontario
Employment Type: Full Time
Location: (Hybrid working model)
Salary Range: $120,000-$150,000K CAD

Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates—because at Project X, our people are what make us great.

Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and workflows. The successful candidate will design and build production integrations between AI agents, enterprise APIs, agent orchestration frameworks and managed AI services, enabling agent-driven workflows to safely create, launch, measure and manage business activity. This role requires deep, current fluency in LLMs, agent orchestration and the Model Context Protocol (MCP), and sits between Senior and Principal level. There are no direct reports for this position.

Responsibilities

~1 min read

→Design and implement production integrations between AI agents, enterprise APIs and operational systems
→Build production-grade services that let agents invoke tools and execute business actions reliably
→Connect client owned automation APIs to an agent orchestration layer and third-party managed agents
→Integrate LLM-based agents with internal and external services using APIs, MCP and related agent-tool patterns
→Contribute to agent-to-agent and agent-to-tool communication patterns
→Build for reliability: validation, error handling, retries, fallbacks, logging, observability and secure access
→Participate in architecture and system-design decisions while remaining directly responsible for implementation

Requirements

~1 min read

8+ years of professional software, ML or AI engineering experience
Production experience building LLM-based applications and agentic systems, including agent orchestration and tool/function calling
Practical experience with the Model Context Protocol (MCP), including exposing or consuming tools/resources
Advanced Python development with strong production software-engineering practices (testing, CI/CD, Git)
API development and integration (REST, service-oriented architectures), plus distributed systems and event-driven patterns
Experience deploying and operationalizing machine learning models in production
Ability to design guardrails, validation and failure-handling patterns for non-deterministic AI workflows
Strong communication skills for an embedded, client-facing engineering environment

Nice to Have

~1 min read

Experience with LangChain, LangGraph or comparable agent frameworks (e.g., LangChain Deep Agents)
Experience with multi-agent or agent-to-agent architectures and awareness of their common failure modes
FastAPI, Docker, Kubernetes and a major cloud platform (AWS, GCP or Azure)
Vector databases/retrieval systems and ML lifecycle tooling (MLflow, Weights & Biases or comparable)
Slack APIs or other enterprise messaging integrations

Project X may use automated or AI-enabled tools as part of the recruitment and selection process. These tools may support activities such as resume screening, candidate matching, or application management. All hiring decisions involve human review and judgment.

Project X is committed to fostering an inclusive, accessible workplace. Accommodations are available upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code.

Personal information collected during the recruitment process will be used solely for recruitment purposes and handled in accordance with applicable privacy legislation.

Please apply with your resume and cover letter.