AI Automation Engineer / Developer

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We’re growing fast and we’re looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.

The Opportunity

We are seeking a highly skilled AI Automation Engineer/Developer to design, build, and deploy intelligent automation systems that enhance operational efficiency and decision-making. You will develop scalable AI-driven solutions leveraging LLMs, OCR, and NLP technologies to process complex datasets, automate workflows, and deliver actionable insights across business functions.

What you'll be doing:
• 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.

What you bring:
• 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.

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.

Why You’ll Love Working at ShyftLabs

At ShyftLabs, your work matters. We’re a growing data product company making a big impact with Fortune 500 clients and as we scale, you’ll have the chance to shape solutions, influence strategy, and grow your career alongside us.

Here’s what you can expect when you join our team:
-Hybrid Flexibility: Enjoy a hybrid model with 3 days per week in our Toronto office.
-Downtown Toronto Office: Work in the heart of the city.
-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.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.

Inclusion at ShyftLabs

We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.