AI Developer at Aristaz Inc
Toronto, ON M8Z 1R8, Canada -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

58091.08

Posted On

31 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

System Development, Azure, Python, Sql

Industry

Information Technology/IT

Description

POSITION OVERVIEW

We are seeking an experienced AI Developer with a proven background in software development (5+ years) and at least 2 years of hands-on AI experience. The ideal candidate will be a full stack developer with strong expertise in APIs, SQL, Python, and data ingestion pipelines, combined with practical knowledge of prompt engineering tips and techniques for large language models (LLMs). This role offers the opportunity to build and deploy AI-powered solutions that drive innovation and business value.

REQUIRED SKILLS & QUALIFICATIONS

  • Minimum 5 years of professional software development experience.
  • At least 2 years of applied AI experience, building or deploying AI/ML solutions.
  • Strong full stack development expertise (frontend + backend).
  • Proven API development and integration experience.
  • Proficiency in Python and SQL for data ingestion and pipeline building.
  • Hands-on experience with prompt engineering tips and techniques for AI/LLMs.
  • Solid understanding of cloud platforms (AWS, Azure, GCP) for AI/ML workloads.

How To Apply:

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Responsibilities
  • Design, develop, and deploy AI-driven applications and solutions across the full stack.
  • Collaborate with data scientists and ML engineers to operationalize AI/ML models in production.
  • Build and optimize robust APIs and microservices to support AI-powered platforms.
  • Develop data ingestion and transformation pipelines using SQL and Python.
  • Apply prompt engineering techniques to optimize performance of language models (e.g., GPT).
  • Work across frontend and backend systems, ensuring seamless integration and scalability.
  • Partner with stakeholders to translate business needs into technical AI solutions.
  • Continuously evaluate and integrate emerging AI frameworks and tools to improve solution efficiency.
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