DescriptionGeneral InformationJob Title:AI EngineerLocation:Toronto, ON (Onsite/Hybrid)Job Type:Full-TimeReporting Line:Head of R&DSalary; Range:CAD 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.Our teams combine deep domain expertise with 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, this is the place where your skills and judgment truly come to life.Role OverviewThis is ahigh-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 ProfileA 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 byownership, autonomy, and the chance to build from the ground up(rather than being a small cog in a large organization) will thrive here.Responsibilities & ExpectationsKey ResponsibilitiesDesign and buildproduction-grade LLM systems (RAG, agents, APIs)Architect systems that minimize rework in fast-evolving environmentsOwn end-to-end delivery of critical AI featuresDefine and implementevaluation frameworksOptimize systems forcost, latency,



and reliabilityCollaborate across teams where neededProvide 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 levelAgent architectures (ReAct, tool calling, planning loops)Strong understanding of trade-offs (cost, latency, scalability)Ability to work independently in ambiguous, fast-moving environmentsNice-to-HaveFine-tuning experience (LoRA, SFT, DPO)Inference stack experience (vLLM, TGI, llama.Cpp)Observability tooling (Langfuse, LangSmith)Prior experience in early-stage or high-ownership teamsPublic work (GitHub, blogs, talks) demonstrating depthEducationBachelor's or master's degree in computer science or a related disciplineTechnical SkillsAdvanced Python and backend engineeringLLM systems (RAG, agents, prompting, evaluation)API design and system architectureDocker, Git, CI/CDUnderstanding of inference systems and scalingSoft SkillsHigh ownership and accountabilityAbility to operate in ambiguity ("build while flying")Strong decision-making and trade-off analysisClear communication with cross-functional teamsWhat Success Looks Like in the First 90 DaysBy the end of Month 1Deeply understand Crosstalk/Zync architecture and ongoing projectsContribute meaningfully to ongoing systems (not just onboarding tasks)Identify gaps or risks in current implementationsBy the end of Month 2Own and deliver acritical feature or system component end-to-endImprove an existing system (performance, evals,



or architecture)Demonstrate strong independent executionBy the end of Month 3Act as atrusted senior engineer on the teamDrive architectural decisions or improvementsDeliver measurable impact (system reliability, quality, or efficiency)Operate with minimal oversight in high-stakes projectsWhy You’ll Love Working HereAt Fulfillment IQ, we don’t 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.Work That MattersBuild systems that directly impact global commerce and supply chain performance.Career Growth That MattersWe invest in mentorship, leadership development, learning budgets, and long-term career growth.Flexibility to ThriveWe support remote and hybrid work models by offering multiple office locations to help you perform at your best.We Celebrate YouFrom team wins to work anniversaries, we recognize impact, celebrate milestones and reward performance.A Collaborative CultureWork alongside talented engineers, product leaders, and award-winning domain experts who value ownership, transparency, and high standards.Perks you’ll appreciateEmployee Health:Comprehensive health and dental coverage for you and your familyTime Off:Competitive paid time off and flexible leave policiesRetirement:Retirement savings programs and employer contributionsProfessional Growth:Dedicated learning and development budgetFlexible Work:Remote and hybrid work optionsPerks:Equipment allowances, internet reimbursements, business travel coverage, and employee stock options (ESOP), where applicable.Community Engagement:Team events, meetups, and company offsitesLife at Fulfillment IQFulfillment IQ is a people-first company built in 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.Learn More About UsWebsite:fulfillmentiq.ComLinkedIn:Fulfillment IQSpotify:eCom Logistics Podcast SpotifyYouTube:eCom Logistics Podcast YouTube#J-18808-Ljbffr

📌 Ai Engineer - C$135,000 - C$170,000 A Year (Winnipeg)
🏢 Fulfillment IQ
📍 Winnipeg