Backend Engineer, Cloud/AI

2 weeks ago


Toronto ON, Canada Ecomtent Full time

Company Description

Ecomtent is a Techstars-backed company that specializes in enabling brands to create optimized product listings with Generative AI. Join our dynamic and innovative startup and see your work impacting millions of listings across largest ecommerce marketplaces. The role offers an exciting opportunity to work on cutting-edge technology in a fast-paced startup environment.

Role Description

This is a full-time role for a Backend Engineer position funded by the NRC IRAP Program, which has specific eligibility requirements outlined here: 

Responsibilities

  • Design and develop scalable and high-performance AI applications integrated with external APIs.
  • AWS environment configuration, setup and administration to host custom LLMs and Diffusion AI models on AWS Sagemaker/EC2. 
  • 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.

Qualifications

  • Hands-on experience in backend software engineering.
  • Basic understanding of backend development concepts including serverless architecture, APIs, databases.
  • Familiarity with AWS technologies we use such as Lambda, DynamoDB, SQS, API Gateway and CI/CD pipelines is a plus. While deep expertise is not expected, a willingness to learn and work with these services is essential.
  • Proficiency in at least one backend programming language such as Node.js or Python. Familiarity with JavaScript and TypeScript is a plus.
  • 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.

We particularly encourage applications from women, visible minorities and persons with disabilities as these groups are underrepresented throughout the technology industry.



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