Senior Engineer, Applied AI in Toronto

Senior Engineer, Applied AI in Toronto

Toronto Full-Time 135000 - 170000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and build cutting-edge AI systems that impact global commerce.
  • Company: Fulfillment IQ, a leader in supply chain engineering and transformation.
  • Benefits: Competitive salary, health coverage, flexible work options, and professional growth opportunities.
  • Other info: Enjoy a collaborative culture with mentorship and career development.
  • Why this job: Join a dynamic team where your work makes a real difference in logistics.
  • Qualifications: Strong background in AI systems, Python, and backend engineering required.

The predicted salary is between 135000 - 170000 $ per year.

Location: Toronto, ON (Onsite/Hybrid)

Job Type: Full-Time

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 (non-negotiables):

  • 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; demonstrate strong independent execution.
  • 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:

  • Build systems that directly impact global commerce and supply chain performance.
  • We invest in mentorship, leadership development, learning budgets, and long-term career growth.
  • We support remote and hybrid work models.
  • We recognize impact, celebrate milestones, and reward performance.
  • Work alongside talented engineers, product leaders, and award-winning domain experts.

Perks you’ll appreciate:

  • Comprehensive health and dental coverage for you and your family
  • 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: Fulfillment IQ

Fulfillment IQ is an exceptional employer that fosters a culture of innovation and collaboration, allowing you to take ownership of your work while building cutting-edge solutions in supply chain simulation. Located in Toronto, ON, you will enjoy a hybrid work environment, competitive compensation, and comprehensive benefits, including professional growth opportunities and a supportive team that values your contributions. Join us to make a tangible impact on global commerce and advance your career in a dynamic and inclusive workplace.

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Contact Details:

Fulfillment IQ Recruitment Team

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

Advanced Python
Backend Engineering
LLM Systems
API Design
System Architecture
RAG Systems
Prompt Engineering