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AI Developer​/Prompt Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Moonfire
Full Time position
Listed on 2026-05-26
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 100000 - 140000 CAD Yearly CAD 100000.00 140000.00 YEAR
Job Description & How to Apply Below

About the Role

We are seeking an AI Developer / Prompt Engineer to contribute to major projects. The AI Developer leads the design, development, and deployment of advanced AI‑enabled solutions in enterprise and cloud environments. This role combines strong software engineering discipline with deep hands‑on experience in machine learning, generative AI, and modern AI development platforms. The role will be remote.

Role and Responsibilities
  • Architect, develop, and deploy production‑grade AI and generative AI solutions aligned with business outcomes
  • Lead implementation of NLP, LLM‑based applications, predictive models, and intelligent agents
  • Build and integrate AI services using AWS Bedrock and AWS Sage Maker
  • Apply AI‑assisted development practices using Git Hub Copilot and Claude Code
  • Design APIs, microservices, and event‑driven integrations
  • Establish best practices for model lifecycle management, monitoring, security, and cost optimization
  • Provide technical leadership, code reviews, and mentoring
  • Ensure AI solutions meet security, privacy, and responsible AI standards
Qualifications and Experience
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
  • 6+ years software development experience, including 3+ years delivering AI solutions
  • Expert proficiency in Python and strong backend development experience
  • Hands‑on experience with Tensor Flow, PyTorch, or scikit‑learn
  • Proven experience with AWS Sage Maker and AWS Bedrock
  • Familiarity with Git Hub Copilot and Claude Code
  • Strong cloud‑native and microservices architecture experience
Preferred qualifications
  • Experience with LLM‑based and agentic systems
  • Knowledge of MLOps and AI governance
  • Experience with vector databases and RAG architectures
  • Consulting or client‑facing delivery experience
Compensation (Ontario)

The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate.

Estimated salary range: $100,000 to $140,000 per year.

This posting is a current hiring need.

Benefits and Work Environment
  • 4 weeks of cumulative vacation starting from day one
  • Flexible working hours
  • Professional Development Allowance (PDA) for training, computer equipment, and physical activities
  • Training tailored to your areas of expertise
  • Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary
  • Modular group insurance plan
  • Public transportation or parking reimbursement when required
  • Referral bonuses
  • 11 statutory holidays
  • Personal days
  • An active social life (5to7 events, social club, healthy snacks, coffee, and more)
Position Details
  • Employment type: Full time, permanent
Notice on the Use of Artificial Intelligence in Recruitment

We use AI enabled tools to help sort and review applications based on job related criteria. Final decisions regarding candidate progression are always made by a human recruiter.

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