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Added 1 month ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
Advanced proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch or Scikit‑learn.
Added 1 month ago
B
Senior Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python, Spark, Scala
Added 1 month ago
ID
Data Scientist & Machine Learning Engineer
Identity Digital Inc.
Toronto, ON
- $87,000 to $114,000 CAD / year
- Full-time
…automated decisioning. As a Data Scientist and Machine Learning Engineer, you will work across (and connect) the expertise of these two related but distinct disciplines. Your…
Added 1 month ago
E
Senior Backend Engineer
Eleven-X
Waterloo, ON
- Full-time
We are seeking a full-time Senior Backend Engineer to strengthen the systems behind our eXactPark cloud solution. You will own backend capabilities from technical design through production…
Added 1 month ago
TC
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
· Software Engineering: Build high-performance, scalable APIs using Python (FastAPI) to expose capabilities required
Added 1 month ago
C
Senior Optical Engineer
Ciena
Ottawa, ON
- $94,100 to $150,300 CAD / year
- Full-time
We are seeking a Senior Optical Engineer to provide technical leadership for the evaluation, qualification, and lifecycle management of optical technologies used across Ciena's photonic…
Added 1 month ago
F
Search Engineer
Firecrawl
Toronto, ON
- Full-time
Reverse engineer detection: Research how modern websites detect and challenge automated traffic, and take apart those mechanisms and challenge flows
Added 1 month ago
T
Data Integration Developer
Trafigura
Calgary, AB
- Full-time
The Data Engineer will be responsible for building and maintaining the data integration infrastructure that underpins Trafigura's North American Gas and Power trading desk. Working within…
Added 2 months ago
Sr. DevSecOps Engineer
Rogers Communications
Brampton, ON · Toronto, ON
We are currently seeking a Sr DevSevOps Engineer to join the Rogers Enterprise DevSecOps Engineering Team. Working from Toronto or Brampton office, you will work with the Enterprise DevOps…
Added 1 month ago
EA
Développeur.se de logiciels sénior.e - outils de moteur génératif / Senior Software Engineer - Generative Engine Tools
Electronic Arts (EA)
Montreal, QC
- Full-time
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into core engine architecture. You will translate ideas…
Added 1 month ago
EA
Développeur.se de logiciels sénior.e - applications dorsales / Senior Software Engineer - Backend
Electronic Arts (EA)
Montreal, QC
- Full-time
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into backend architecture. You will translate ideas from…
Added 1 month ago
A
Ingénieur(e) Senior, Plateforme de Données
Astek
Montreal, QC
- Full-time
…moderne. Le/la candidat(e) idéal(e) a de l'expérience avec Python, Spark, Git, Microsoft Fabric et l'architecture médaillon (Bronze, Silver, Gold). Dans ce rôle, vous concevrez et…
Added 1 month ago
Q
FY27 Intern - Low-Power AI, Audio, and Sensors Subsystem Engineering Internship - ASIC Design / Verification/Implementation - Canada (12 or 16 months)
Qualcomm
Markham, ON
- Full-time
As an intern on our team, you will work closely with an experienced engineer and contribute hands-on to design, verification, and modelling of ASIC HW IP (blocks) and sub-systems and learn…
Added 1 month ago
FI
Senior Engineer, Applied AI
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
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…
Added 1 month ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
…messy processes into repeatable automation. As the Analytics Engineer, Risk, you’ll join the Model Development team within Risk, working closely with the Manager, Model Development, Data…
Added 1 month ago
A
Machine Learning Engineer
ALS
Montreal, QC
- Full-time
Excellente maîtrise de Python pour le traitement des données (pandas, NumPy), l’analyse statistique, la visualisation (matplotlib, seaborn) et l’apprentissage automatique (p. ex., PyTorch).
Added 1 month ago
CG
Senior DevOps/SRE Engineer
Credit Genie
Toronto, ON
- Full-time
As a Senior DevOps / SRE Engineer on this team, you'll own reliability and deployments across our AWS and Kubernetes environment, take real ownership of our compliance work, and help build…
Added 1 month ago
J
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 1 month ago
C
AI Engineer
Cognizant
Toronto, ON
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 1 month ago
J
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…
Added 1 month ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
We are seeking an experienced Data Engineer to build and operate the Core Data Infrastructure that underpins our ML and Science initiatives for Bot Management. You will design and own…
Added 1 month ago
Security Engineer , AI Security
Amazon
Vancouver, BC
…ground up? The Amazon AI Security team is looking for a Security Engineer to design security controls and validate that our AI and machine learning (ML) services, applications, and emerging…
Added 1 month ago
NS
Senior IC Design Verification Engineer
NXP Semiconductors
Ottawa, ON · Kanata
- Full-time
We are seeking a highly motivated Design Verification Engineer with a relentless drive to excel and make a significant impact. Our team offers innovative thinking, engineering expertise,…
Added 1 month ago
J
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
…job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering teams to enhance…
Added 1 month ago
P
Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
- Full-time
Petal is looking for an AI-First Data Engineer to join a small platform team building the next generation of our data platform, enabling advanced BI and enabling AI workflows across the…

Fulfillment IQ

Senior Engineer, Applied AI

Remote, Canada

Remote

Job Title: Senior Engineer, Applied AI 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) · Full-time

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Job details

Pay: Job Title: Senior Engineer, Applied AI 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)
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 15, 2026

Original job description

General Information:

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 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 to assist in 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 hr@fulfillmentiq.com.

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 hr@fulfillmentiq.com and we will work with you to meet your needs.

Candidate Privacy:

Your personal information is collected and used for recruitment purposes in accordance with FIQ's Candidate Privacy Notice, available here, and in accordance with applicable 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: hr@fulfillmentiq.com.

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

Spotify: eCom Logistics Podcast Spotify

YouTube: eCom Logistics Podcast YouTube

Apply About employer

More about this job

Responsibilities

Design and build production-grade LLM systems including RAG, agents, and APIs while owning the end-to-end delivery of critical AI features. Collaborate across teams to define evaluation frameworks and provide technical guidance to ensure system reliability and performance.

Requirements

Requires a strong backend engineering foundation with proven experience shipping LLM-powered features to production. Candidates must possess deep expertise in RAG systems, agent architectures, and prompt engineering, along with the ability to work independently in ambiguous environments.

Skills

Python
LLM systems
RAG
Prompt engineering
Agent architectures
API design
System architecture
Docker
Git
CI/CD
Inference systems
Evaluation methodologies
Backend engineering
Scalability
Technical leadership

Benefits

Health insurance
Dental coverage
Retirement savings programs
Employer contributions
Learning and development budget
Equipment allowances
Internet reimbursements
Business travel coverage
Employee stock options

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
LLM
RAG
Python
API
System Design
ReAct
Tool calling
Fine-tuning
LoRA
SFT
DPO
vLLM
TGI
Llama.cpp
Langfuse
LangSmith
Docker
Git
CI/CD
Supply Chain
Logistics
Automation
Order Management
Production-ready
Latency
Scalability
Evaluation frameworks
Cross-functional collaboration
Ownership

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