General Information: Job Title: Applied AI Engineer Location: Toronto, ON (Onsite/Hybrid) Job Type: Full-Time Hiring Timeline: Immediate Reporting Line: Head of R&D; Existing Vacancy: Yes 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-performancelogisticsoperations.

We work at the intersection of strategy, operations, and technologywhere wesolvecomplex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution.

Our teams combine deep domainexpertisewith strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate time-to-value and reduce delivery risk.

If you enjoy working in complex environments, partnering closely with clients, and seeing your work make a tangible impact on how global commerce moves,thisistheplace where your skills and judgment trulycome to life.

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 Candidates Profile: A seasoned AI engineer ( ninja-level ) 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.

Individuals driven by ownership, autonomy, and the opportunity to build from the ground up (rather than being a small cog in a large organization) will thrive here.

Responsibilities & Expectations: Key Responsibilities: 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 (especially for less experienced engineers on adjacent teams) Must-Haves (non-negotiables): Strong backend/software engineering foundation (Python, APIs, system design) Proven experience shipping LLM-powered features to production (non-negotiable) Deep expertise in: RAG systems (advanced retrieval + evaluation) LLM evaluation methodologies (golden sets, regression testing) Prompt engineering at API level Agent architectures (ReAct, tool calling, planning loops) Strong understanding of trade-offs (cost, latency, scalability)



Ability to work independently in ambiguous, fast-moving environments Nice-to-Have: Fine-tuning experience (LoRA, SFT, DPO) Inference stack experience (vLLM, TGI, llama.cpp) Observability tooling (Langfuse, Lang

Smith) Prior experience in early-stage or high-ownership teams Public work (Git

Hub, blogs, talks) 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 (RAG, agents, prompting, evaluation) 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 (build while flying) Robust 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 (not just onboarding tasks) 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 (performance, evals, or architecture) 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 (system reliability, quality, or efficiency) Operate with minimal oversight in high-stakes projects Why Youll Love Working Here: At Fulfillment IQ, we dont just build supply chain solutions.

We build careers, friendships, and unforgettable experiences.

We believe in giving our senior technical leaders real ownership, real influence, and the opportunity to shape platforms that power real-world logistics operations.

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all team members.

Heres what makes working with us a rewarding experience: 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 by offering multiple office locations to help you perform at your best.





We Celebrate You From team wins to work anniversaries, we recognize impact, celebrate milestones and reward performance. A Collaborative Culture Work alongside talented engineers, product leaders, and award-winning domain experts who value ownership, transparency, and high standards.

Perks youll appreciate: Employee Health: Comprehensive health and dental coverage for you and your family Time Off: Competitive paid time off and flexible leave policies Retirement: Retirement savings programs and employer contributions Professional Growth: Dedicated learning and development budget Flexible Work: Remote and hybrid work options Perks: Equipment allowances, internet reimbursements, business travel coverage, and employee stock options (ESOP), where applicable.

Community Engagement: Team events, meetups, and company offsites Use of Artificial Intelligence in Hiring: FIQ uses artificial intelligence toassistin the screening, assessment, and shortlisting of applications for this position, including features within our applicant tracking system. AI supports human reviewers and does not make hiring decisions on its own.

Final hiring decisions are made by FIQ personnel.

If you have questions about how AI is used in this process, contact .

Accommodations: FIQ is committed to an inclusive and accessible recruitment process.

Consistent with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available on request at any stage of recruitment and assessment.

Contact and we will work with you to meet your needs.

Candidate Privacy: Your personal information is collected and used for recruitment purposesin accordance withFIQ''sCandidate Privacy

Notice, available here , andin accordance withapplicable Canadian privacy law (PIPEDA).

This includes the use of AI-assisted screening described above and cross-border storage or processing that may occur in the United States.

By applying, you acknowledge this notice.

Questions: .

Equal Opportunity: Fulfillment IQ is a people-first company built on trust, collaboration, and ownership.

We are proud to be an equal opportunity employer and are committed to building a diverse, inclusive, and high-performing workplace.

We consider all qualified applicants without regard to any ground protected under the Ontario Human Rights Code, including race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, or disability.

Learn More About Us: Website: fulfillmentiq.com Linked

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📌 Applied AI Engineer (Toronto)
🏢 Fulfillment IQ
📍 Toronto