AI Automation Engineer/Developer (AI)

TL;DR

AI Automation Engineer/Developer (AI): Designing, building, and deploying intelligent automation systems that enhance operational efficiency and decision-making with an accent on developing scalable AI-driven solutions leveraging LLMs, OCR, and NLP technologies. Focus on designing and implementing AI automation pipelines, optimizing OCR-based data extraction, and fine-tuning large language models for document understanding and summarization.

Location: Hybrid model, 3 days per week in the Toronto office.

Company

hirify.global is a growing data product company helping Fortune 500 companies 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, integrating semantic search.
• Develop custom AI agents for reconciliation, tagging, and anomaly detection in financial and operational datasets.
• Fine-tune and orchestrate large language models (LLMs) for document understanding, summarization, and context-aware matching.
• Deploy scalable inference pipelines on GCP Vertex AI, AWS Lambda, or Dockerized microservices.
• Monitor and maintain model performance through automated evaluation frameworks, triggering retraining.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• Proficiency in Python or Node.js, with hands-on 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 (Docker/Kubernetes) environments.
• Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) and prompt orchestration frameworks.
• Work in a hybrid model with 3 days per week in the Toronto office.

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 3 days per week in the Toronto office.
• Work in a Downtown Toronto office.
• Comprehensive benefits covering 100% of health, dental, and vision insurance premiums for employees and dependents from day one.
• Access to extensive learning and development resources.
• Opportunity to shape solutions, influence strategy, and grow career in a scaling company.