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Posted 22 months ago

Fullstack Engineering Co-Op

@ Ecomtent

Ontario

Full-time
Apply now
SIGNALS

Overview

Ecomtent is hiring a Full Stack Engineer Co-Op to build AI-powered e-commerce search and SaaS features alongside its CTO and AI engineers. The role covers front-end and back-end development in React, TypeScript, Node.js and Python, with AWS services. The position is full-time, hybrid, and open only to candidates legally eligible to work in Canada, with no visa sponsorship.

Responsibilities:

  • Build responsive user interfaces with React and TypeScript
  • Design and develop scalable AI applications integrated with external APIs
  • Own new customer-facing features end to end
  • Improve web applications and cloud infrastructure for speed and scalability

Requirements summary:

  • Hands-on front-end and back-end web development experience
  • Proficiency in JavaScript/TypeScript, React, Node.js and Python
  • Familiarity with AWS Lambda, DynamoDB, SQS and API Gateway (plus)
  • Passion for AI/ML and its applications

Tools & skills

Source and dates

Source type not verified · zoho

Employer posting date
2025-01-11
First seen by our source
2026-10-12
Source record updated
2026-10-12

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityEntry level
DepartmentSoftware development
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Ecomtent

FieldValue
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Job description

Join us as a Full Stack Engineer Co-Op to shape the future of AI in e-commerce while kickstarting your career with impactful, hands-on experience.

Please note that this position is available only to those who are legally eligible to work in Canada. Unfortunately, we are not able to sponsor visas or work permits at this time.

Ecomtent is a fast-growing, venture-backed startup optimizing e-commerce for the future of AI-powered search. Backed by leading Canadian and UK VCs, Techstars + eBay, we partner with some of the world’s largest retailers and e-commerce brands to revolutionize how products are sold, marketed, and advertised online. Learn more about our mission and recent funding here: Ecomtent closes $1.15M CAD in pre-seed funding.

Why This Role is Unique:

Take the first step in your career by working directly with our CTO and AI engineers building category defining SaaS solution.

What You’ll Do:

  • Create engaging and responsive user interfaces using React and Typescript, ensuring optimal user experiences and performance.
  • Design and develop scalable and high-performance AI applications integrated with external APIs.
  • Take ownership of the creation of new customer-facing features and product experiences.
  • Improve web applications and cloud infrastructure to ensure speed and scalability.
  • Continuously innovate and collaborate in a fast-paced, cutting-edge research environment.

Requirements

- Hands-on experience in both front-end and back-end web development.

- Proficiency in Javascript/Typescript, React, Nodejs, Python.

- Familiarity with AWS technologies such as Lambda, DynamoDB, SQS, and API Gateway is a plus. While deep expertise is not expected, a willingness to learn and work with these services is essential.

- Proven ability to take ownership of features from end-to-end and comfortable learning new tools or technologies as needed.

- Passion for AI/ML and its applications.


Benefits

  • As an early member of our team, you'll have opportunities to continue with us on the permanent position after the internship.
  • Ecomtent will provide mentorship and access to cloud infrastructure resources. Our team has expertise in AI research and software engineering. Candidates will be supported to work on the cutting-edge technologies.
  • Hybrid work schedule

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

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