Job Description:

Title: AI Engineer

Type: Contract, 6 months + possibility of extension 

Location: Toronto preferred (remote flexibility for a strong candidate)

Mode: Onsite

Pay Range: $64 - $80/hr (based on experience)

Role Brief:
We are seeking an AI Engineer to build and deploy production-grade applications powered by Generative AI. The role is focused on GenAI application engineering rather than developing AI models from scratch. The engineer will work with LLMs, RAG, AI agents, APIs, and cloud technologies to deliver AI solutions end-to-end, from architecture and development through deployment and optimization.

Top Must-Haves

1. 6+ years of Software/Application Engineering experience, including 1–2+ years building GenAI applications in production.
2. Strong Python development experience with hands-on expertise building APIs, microservices, and production applications.
3. Proven experience developing GenAI solutions, particularly RAG, LLM pipelines, and Agentic AI.
4. Strong AWS/cloud experience, Bedrock, Lambda, EKS, or Fargate, and experience deploying cloud-native applications.
5. Hands-on experience with LLM frameworks and models, such as Lang Chain, LlamaIndex, GPT, Claude, Gemini, or LLaMA.
6. Experience with AI application architecture and deployment, including Docker, Terraform, CI/CD, monitoring, and production optimization.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local

laws and requirements. Benefit eligibility and offerings vary based on role, employmentstatus, and work
location. For contractor positions, benefits are limited to those entitlements and protectionsrequired by
applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other
legally mandated benefits or payments.

We may use AI-enabled and/or automated toolsto support parts of our recruitment process, including
application screening, interview scheduling, and candidate communications. These tools are used to enhance
consistency and efficiency. All hiring decisionsinvolve human review and are not based solely on automated
processin