Applied AI Engineer

Fulfillment IQ; Toronto; On-site; CAD 135,000 - 170,000; Full time

Benefits offered by this job

Employee Health

Time Off

Retirement

Professional Growth

Flexible Work

Equipment allowances

Internet reimbursements

Employee stock options

Job summary

Fulfillment IQ is seeking an Applied AI Engineer to design and deliver production-grade AI systems in a fast-paced, ownership-driven environment. You will build and deploy LLM-based features, including RAG and agents, focusing on speed, correctness, and long-term architectural impact.

The role demands strong backend engineering in Python, API design, and system thinking, with experience shipping LLM-powered features to production and a passion for high-ownership work. Hybrid onsite in Toronto.

Qualifications

• 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

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 to less experienced engineers

Skills

Python

APIs

System design

LLM systems

RAG

Agent architectures

Prompt engineering

Cost optimization

Latency optimization

Independent work

Education

Bachelor's or master's degree in computer science

Tools

Docker

Git

CI/CD

Langfuse

Job description

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 Candidate’s 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, LangSmith)


• Prior experience in early-stage or high-ownership teams

• Public work (GitHub, 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")


• 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 (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 You’ll Love Working Here:

At 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.

Here’s 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 you’ll 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 [e-mail].

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 [e-mail] 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 PrivacyNotice, 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: [e-mail].

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

LinkedIn:Fulfillment IQ

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YouTube:eCom Logistics Podcast YouTube