At a Glance
- Tasks: Design and build cutting-edge AI systems that impact global commerce.
- Company: Fulfillment IQ, a leader in supply chain engineering and transformation.
- Benefits: Competitive salary, health coverage, flexible work options, and professional growth opportunities.
- Other info: Enjoy a collaborative culture with mentorship and career development.
- Why this job: Join a dynamic team where your work makes a real difference in logistics.
- Qualifications: Strong background in AI systems, Python, and backend engineering required.
The predicted salary is between 135000 - 170000 $ per year.
Location: Toronto, ON (Onsite/Hybrid)
Job Type: Full-Time
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.
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 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.
Responsibilities & Expectations:
- 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
Must-Haves (non-negotiables):
- Strong backend/software engineering foundation (Python, APIs, system design)
- Proven experience shipping LLM-powered features to production
- Deep expertise in RAG systems, LLM evaluation methodologies, prompt engineering, and agent architectures
- Strong understanding of trade-offs (cost, latency, scalability)
- Ability to work independently in ambiguous, fast-moving environments
Nice-to-Have:
- Fine-tuning experience
- Inference stack experience
- Observability tooling
- Prior experience in early-stage or high-ownership teams
- Public work 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
- 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
- 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; 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; 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.
Why You’ll Love Working Here:
- Build systems that directly impact global commerce and supply chain performance.
- We invest in mentorship, leadership development, learning budgets, and long-term career growth.
- We support remote and hybrid work models.
- We recognize impact, celebrate milestones, and reward performance.
- Work alongside talented engineers, product leaders, and award-winning domain experts.
Perks you’ll appreciate:
- Comprehensive health and dental coverage for you and your family
- Competitive paid time off and flexible leave policies
- Retirement savings programs and employer contributions
- Dedicated learning and development budget
- Remote and hybrid work options
- Equipment allowances, internet reimbursements, business travel coverage, and employee stock options
Accommodations: FIQ is committed to an inclusive and accessible recruitment process. Accommodations are available on request at any stage of recruitment and assessment.
Candidate Privacy: Your personal information is collected and used for recruitment purposes in accordance with FIQ's Candidate Privacy Notice.
Equal Opportunity: Fulfillment IQ is a people-first company built on trust, collaboration, and ownership. We are proud to be an equal opportunity employer.
Senior Engineer, Applied AI in Toronto employer: Fulfillment IQ
Fulfillment IQ is an exceptional employer that fosters a culture of innovation and collaboration, allowing you to take ownership of your work while building cutting-edge solutions in supply chain simulation. Located in Toronto, ON, you will enjoy a hybrid work environment, competitive compensation, and comprehensive benefits, including professional growth opportunities and a supportive team that values your contributions. Join us to make a tangible impact on global commerce and advance your career in a dynamic and inclusive workplace.