Senior Engineer, Applied AI in Toronto

Senior Engineer, Applied AI in Toronto

Toronto Full-Time On-site
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At a Glance

  • Tasks: Design and build cutting-edge AI systems that impact global commerce.
  • Company: Join Fulfillment IQ, a leader in supply chain engineering and transformation.
  • Benefits: Enjoy competitive salary, health coverage, flexible work options, and growth opportunities.
  • Other info: Collaborative culture with mentorship and career development support.
  • Why this job: Make a real difference in logistics while working with innovative technology.
  • Qualifications: Expertise in AI systems, strong programming skills, and a passion for impactful work.

Location: Toronto, ON (Onsite/Hybrid)

Job Type: Full-Time

Hiring Timeline: Immediate

Salary Range: 135K - 170K CAD per year (negotiable)

About Fulfillment IQ (FIQ): Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations. We work at the intersection of strategy, operations, and technology where we solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution.

Role Overview: This is a high-impact, senior engineering role, where engineers are expected to operate with significant ownership and minimal oversight. The role focuses on building production-ready AI systems in an environment where speed, correctness, and architectural decisions have long-term implications.

Ideal Candidate's Profile: A seasoned AI engineer with hands-on experience in developing and deploying real LLM systems, who excels in environments with significant ownership responsibilities and values impactful work more than structured, low-risk settings.

Responsibilities & Expectations:

  • Design and build production-grade LLM systems (RAG, agents, APIs)
  • Architect systems that minimize rework in fast-evolving environments
  • Own end-to-end delivery of critical AI features
  • Define and implement evaluation frameworks
  • Optimize systems for cost, latency, and reliability
  • Collaborate across teams where needed
  • Provide technical guidance where applicable

Must-Haves:

  • Strong backend/software engineering foundation (Python, APIs, system design)
  • Proven experience shipping LLM-powered features to production
  • Deep expertise in RAG systems, LLM evaluation methodologies, prompt engineering, and agent architectures
  • Strong understanding of trade-offs (cost, latency, scalability)
  • Ability to work independently in ambiguous, fast-moving environments

Nice-to-Have:

  • Fine-tuning experience
  • Inference stack experience
  • Observability tooling
  • Prior experience in early-stage or high-ownership teams
  • Public work demonstrating depth

Education: Bachelor's or master's degree in computer science or a related discipline

Technical Skills:

  • Advanced Python and backend engineering
  • LLM systems
  • API design and system architecture
  • Docker, Git, CI/CD
  • Understanding of inference systems and scaling

Soft Skills:

  • High ownership and accountability
  • Ability to operate in ambiguity
  • Strong decision-making and trade-off analysis
  • Clear communication with cross-functional teams

What Success Looks Like in the First 90 Days:

  • By the end of Month 1: Deeply understand Crosstalk/Zync architecture and ongoing projects, contribute meaningfully to ongoing systems, identify gaps or risks in current implementations
  • By the end of Month 2: Own and deliver a critical feature or system component end-to-end, improve an existing system
  • By the end of Month 3: Act as a trusted senior engineer on the team, drive architectural decisions or improvements, deliver measurable impact

Why You'll Love Working Here:

  • Work That Matters: Build systems that directly impact global commerce and supply chain performance.
  • Career Growth That Matters: We invest in mentorship, leadership development, learning budgets, and long-term career growth.
  • Flexibility to Thrive: We support remote and hybrid work models.
  • We Celebrate You: Recognize impact, celebrate milestones and reward performance.
  • A Collaborative Culture: Work alongside talented engineers and product leaders.

Perks you'll appreciate:

  • Comprehensive health and dental coverage
  • Competitive paid time off and flexible leave policies
  • Retirement savings programs and employer contributions
  • Dedicated learning and development budget
  • Remote and hybrid work options
  • Equipment allowances, internet reimbursements, business travel coverage, and employee stock options

Accommodations: FIQ is committed to an inclusive and accessible recruitment process. Accommodations are available on request at any stage of recruitment and assessment.

Candidate Privacy: Your personal information is collected and used for recruitment purposes in accordance with FIQ's Candidate Privacy Notice.

Equal Opportunity: Fulfillment IQ is a people-first company built on trust, collaboration, and ownership. We are proud to be an equal opportunity employer.

Senior Engineer, Applied AI in Toronto employer: Urban Ridge Supplies

Fulfillment IQ is an exceptional employer that empowers its Senior Engineers in Applied AI to take ownership of impactful projects that shape the future of global commerce. With a strong focus on career growth, mentorship, and a collaborative culture, employees enjoy flexible work arrangements and comprehensive benefits, all while working in the vibrant city of Toronto. Join a team that values diversity, celebrates achievements, and fosters an environment where your contributions truly matter.

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Contact Details:

Urban Ridge Supplies Recruitment Team

We think you need these skills to ace Senior Engineer, Applied AI in Toronto

Python
API Design
System Architecture
LLM Systems
RAG Systems
Prompt Engineering
Agent Architectures