Ai Automation Engineer

TL;DR

Ai Automation Engineer (AI Engineering): Design, build, and deploy intelligent automation systems leveraging LLMs, OCR, and NLP to enhance operational efficiency and decision-making. With an accent on scalable AI-driven solutions and workflow automation. Focus on fine-tuning large language models, developing custom AI agents, and deploying inference pipelines on cloud platforms.

Location: Hybrid in Toronto, Ontario with 4 days per week in office

Salary: CAD 80,000–120,000

Company

hirify.global is a fast-growing data product company helping Fortune 500 clients unlock growth with cutting-edge digital solutions since 2020.

What you will do

• Design and implement AI automation pipelines using Python (FastAPI, LangChain, spaCy) or Node.js.
• Build and optimize OCR-based data extraction systems for unstructured documents.
• Develop custom AI agents for reconciliation, tagging, and anomaly detection.
• Fine-tune and orchestrate large language models for document understanding and summarization.
• Deploy scalable inference pipelines on GCP Vertex AI, AWS Lambda, or Dockerized microservices.
• Integrate AI results into user-facing workflows via dashboards and APIs.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• Proficiency in Python or Node.js with experience in FastAPI, LangChain, or spaCy.
• Strong understanding of OCR, NLP, semantic search, and LLM-based automation.
• Experience deploying solutions on AWS, GCP, or containerized environments.
• Location: Must be able to work hybrid in Toronto office (4 days per week).
• English: Proficient (B2+ level).

Nice to have

• Experience with MLOps, Vertex AI Pipelines, or AWS SageMaker.
• Exposure to financial or document-intensive automation systems.
• Understanding of data drift detection, retraining strategies, and LLM evaluation metrics.

Culture & Benefits

• Hybrid work model with office located downtown Toronto.
• 100% coverage of health, dental, and vision insurance premiums from day one.
• Access to extensive learning and development resources.
• Inclusive and diverse work environment.