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Added 12 mins ago
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Full-time
Experience with scripting languages (such as Python) for test automation and data analysis.
Added 15 mins ago
Applied AI Engineer
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Full-time · Remote
Velixo builds Excel-native reporting, planning, and automation for finance teams running Acumatica, Sage Intacct, Business Central, and MYOB. Founded in 2017 and headquartered in Montreal,…
Added 30 mins ago
Senior Data Platform Engineer
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Full-time
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Added 45 mins ago
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Automation Test Engineer with Python / Toronto, ON (Onsite) - FTE
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HomeTeam Network
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Strong Python and hands-on PyTorch or TensorFlow
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Platform Tooling & Automation: Develop custom platform automation, cloud API integrations, and developer enablement tooling using Python or Go.
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We're Hiring: Sr Software Engineer (Python + Frontend) AND Sr Software Engineer (Python +DevOps) :: Number of Job Opportunities: 2
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Added 1 hour ago
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Forward Deployed AI Engineer
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Added 1 hour ago
Senior AI Engineer – Claims Summarization & Agentic AI
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Senior Data Engineer - Toronto
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Vancouver, BC
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Scripting and automation ability (Python and/or PowerShell) using platform APIs.
Added 1 hour ago
Application Engineer
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Toronto, ON · Greater Toronto Area, Canada
Contract
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Toronto, ON
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Hands-on experience using Python for data processing and automation.
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Toronto, ON
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Strong Python skills, particularly for data manipulation and automation.
Added 2 hours ago
Test Engineer
Pacer Group
Montreal, QC
$45 to $48 CAD / hour
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Strong scripting skills using Python and Bash for automation and test execution.
Added 2 hours ago
Test Engineer
Evertz
Burlington, ON
Full-time
Develop and Modify code in LabVIEW and Python languages to automate the testing process
Added 2 hours ago
Test Engineer
Ardent SoftSol Inc.
Montreal, QC
Contract
Contribute to DevOps automation and improvements.
Added 2 hours ago
Machine Learning Engineer
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Toronto, ON
We are seeking a highly capable Machine Learning Engineer with deep expertise in building Lang graph based agentic systems, Object-Oriented Python, and ML Ops. In this role, you will…
Added 2 hours ago
Testing Engineer
J&M Group
Toronto, ON
Full-time
Contribute to DevOps automation and improvements.

Urban Ridge Supplies

Senior Engineer, Applied AI

Toronto, ON, Canada

Pay: Salary Range: 135K - 170K CAD per year (negotiable)
Job type: Full-time
Posting language: English
Posted: Sep 24, 2026

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Original job description

General Information:

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)

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

Job Id: bOdSay1hYEtTPdNA6vh6AfMWtVKHVRzEk43Vsy+zSp3Nvkqnk8HK6YkKdbCiq47LiOLFrqzDx6l0f/wd4tSuMKzsn6PFDV5rOw==

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More about this job

Responsibilities

Design and deliver production-grade LLM systems, including RAG, agents, and APIs, while owning critical AI features end to end. Build evaluation frameworks, optimize cost, latency, and reliability, make architectural decisions, and provide technical guidance to colleagues.

Requirements

Candidates need a strong Python and backend engineering foundation, proven experience shipping LLM-powered features to production, and deep expertise in RAG, evaluation, prompt engineering, and agent architectures. They must be able to work independently in ambiguous, fast-moving environments and make sound trade-offs involving cost, latency, and scalability; a bachelor's or master's degree in computer science or a related discipline is listed.

Skills

Python
Backend Engineering
API Design
System Architecture
Large Language Models
Retrieval-Augmented Generation
Advanced Retrieval
LLM Evaluation
Prompt Engineering
Agent Architectures
ReAct
Tool Calling
Planning Loops
Docker
Git
CI/CD

Benefits

Health Insurance
Dental Coverage
Paid Time Off
Flexible Leave
Retirement Savings Program
Learning and Development Budget
Equipment Allowance
Internet Reimbursement
Business Travel Coverage
Employee Stock Options
Remote and Hybrid Work Options

Visa sponsorship

Not detected in the job text

Keywords

Python
Backend Engineering
APIs
System Design
Large Language Models
Retrieval-Augmented Generation
Advanced Retrieval
LLM Evaluation
Golden Sets
Regression Testing
Prompt Engineering
Agent Architectures
ReAct
Tool Calling
Planning Loops
Fine-Tuning
LoRA
Supervised Fine-Tuning
Direct Preference Optimization
vLLM
TGI
llama.cpp
Langfuse
LangSmith
Docker
Git
CI/CD
Inference Systems
Supply Chain
Logistics

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