Hybrid AI Automation Engineer

at ShyftLabs

• Job title: AI Automation Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: CA$80,000 - CA$120,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Docker, Google Cloud Platform, JavaScript, Kubernetes, Microservices, Node.js, Python
• Location requirements: Hybrid, Toronto, Canada

About the role

• AI Automation Engineer designing and deploying AI-driven solutions for operational efficiency at ShyftLabs. Developing scalable automation pipelines and optimizing workflows using LLMs, OCR, and NLP technologies.

Responsibilities

• Design and implement AI automation pipelines using Python (FastAPI, LangChain, spaCy) or Node.js (LLM API wrappers, task automation frameworks).
• Build and optimize OCR-based data extraction systems for invoices, receipts, and other unstructured documents, integrating semantic search and rule-based classification workflows.
• Develop custom AI agents for reconciliation, tagging, and anomaly detection across financial and operational datasets.
• Fine-tune and orchestrate large language models (LLMs) for document understanding, summarization, and context-aware entity or workflow matching.
• Deploy scalable inference pipelines on GCP Vertex AI, AWS Lambda, or Dockerized microservices, ensuring reliability and cost efficiency.
• Integrate AI results into user-facing workflows via interactive dashboards, APIs, or automation tools, enabling seamless user adoption.
• Monitor and maintain model performance through automated evaluation frameworks, triggering retraining pipelines based on data drift or performance degradation.
• Collaborate with cross-functional teams (data, DevOps, and product) to ensure AI automation solutions align with business goals and compliance standards.

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**.
• Strong problem-solving skills and ability to translate business needs into scalable technical solutions.

Benefits

• Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.
• Access extensive learning and development resources to keep leveling up your skills.
• Hybrid Flexibility: Enjoy a hybrid model with 4 days per week in our Toronto office.
• Downtown Toronto Office: Work in the heart of the city.