Talent.com

Biomedical engineer Jobs in Toronto, ON

Create a job alert for this search

Biomedical engineer • toronto on

Last updated: 12 hours ago

AI Engineer

Fulfillment IQToronto, ON, CA
CA$135,000.00 yearly
Full-time
Quick Apply

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 th... Show more

Manufacturing Engineer

MillerKnollToronto,ON
CA$75,000.00 yearly
Full-time

Knoll uses modern design to connect people to their work, their lives, their world.Since 1938, we have been recognized internationally for creating workplace and residential furnishings that inspir... Show more

Sessional Lecturer- BME1801HF/BME460H1F - Biomedical Product Development II

University of TorontoToronto, ON, CA
Full-time

This course introduces students to the interplay between medical device regulation and product design.Medical device regulations determine the types of testing required for product validation, the ... Show more

Software Engineer

NexScaleToronto, Ontario, Canada
Full-time

Software Engineer - AI-Native Product Builder.Toronto (Hybrid) or Remote within Canada.Paid via government-supported internship grants.Long-term internship extension or Full-time position&nbsp... Show more

DevOps Engineer

iManageToronto, ON, CA
Full-time
Quick Apply

DevOps is part of a global organization that leverages the latest technology to communicate with our colleagues across the globe.We organize ourselves into distributed teams -- DevOps teams are anc... Show more

kdb+ Engineer

Data IntellectToronto, Ontario, Canada
Full-time

Collaborating with business users to define new application requirements.Developing, testing and maintaining.Supporting project delivery alongside Project Managers and Senior Engineers.Working as p... Show more

Data Engineer

Tiger Analytics Inc.Toronto, ON, CA
Remote
Full-time
Quick Apply

Tiger Analytics is a fast-growing advanced analytics consulting firm.Our consultants bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for several F... Show more

Engineer

Toronto HydroToronto, ON, CA
Full-time

Target Variable Performance Pa.The salary range shown above reflects the expected  compensation for this position.The final salary offered will be determined based on a holistic assessment of the c... Show more

AI Engineer

0000050007 Royal Bank of CanadaTORONTO, Ontario, Canada
Full-time

RBC Capital Markets is seeking an AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support Sales teams with cutting-edge AI-powered solutions.You will lea... Show more

Biomedical Service Engineer

RandoxToronto, Canada
Full-time +1

Biomedical Service Engineer – Toronto (Job Ref: 26I/BMCN).Randox are a world leader in diagnostics for clinical healthcare, toxicology, and food security.Our expertise and product portfolio have as... Show more

Network Engineer

MercorToronto, Ontario, Canada
CA$50.00 hourly
Remote
Part-time
Quick Apply

Headquartered in San Francisco, our investors include.Network Engineer - Data for Autonomous Systems annotation.Review real-world data from deployed networks, including logs, configs, telemetry, an... Show more

QA Engineer

Randstad CanadaToronto, Ontario, CA
Temporary
Quick Apply

Our client, a leading financial institution, is seeking a highly skilled ETL Quality Assurance Testing professional to join their team.In this role, you will support parallel projects in a fast-pac... Show more

Platform Engineer

TSX Inc.Adelaide St W,Toronto
Full-time

Venture outside the ordinary - TMX Careers.The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations ... Show more

PRINCIPAL ENGINEER

E-SolutionsTORONTO, ON
Full-time

Location : Toronto (Hybrid) days week.Primary Skills: Java, Microservices, along with Kafka, SQL, Python, Data Engineering Backgroud, Azure Cloud services.Secondary Skills: Databricks, Hadoop, Rest... Show more

Senior.NET Engineer

Derivative PathToronto, ON, CA
Full-time
Quick Apply

Who We Are Derivative Path empowers institutions across the capital markets with innovative, AI-driven technology and expert advisory solutions.Our award-winning cloud platform supports banks, cred... Show more

 • New!

Platform Engineer

Canadian Tire Corporation, LimitedToronto, ON
CA$79,000.00 yearly
Full-time

Software Development & Technical Leadership (Primary Focus).Lead the design, development, and evolution of full‑stack software solutions for Store and POS platforms.Serve as the technical leader fo... Show more

People also ask
AI Engineer

AI Engineer

Fulfillment IQToronto, ON, CA
30+ days ago
Salary
CA$135,000.00 yearly
Job type
  • Full-time
  • Quick Apply
Job description

Description

General Information:

Job Title: AI Engineer

Location: Toronto, ON (Onsite/Hybrid)

Job Type: Full-Time

Reporting Line: Head of R&D

Salary 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 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 MattersBuild 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

Life at Fulfillment IQ:

Fulfillment 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 Us:

Website: fulfillmentiq.com
LinkedIn: Fulfillment IQ
Spotify: eCom Logistics Podcast Spotify
YouTube: eCom Logistics Podcast YouTube