AI Automation Engineer

New

Skills

FastAPI LangChain Node.js OCR Python

Design AI automation pipelines with Python or Node.js. Build OCR-based data extraction for invoices and unstructured docs. Develop AI agents for reconciliation, tagging, and anomaly detection. Fine-tune and orchestrate LLMs for document understanding and summarization. Deploy inference pipelines on GCP Vertex AI, AWS Lambda, or Docker. Integrate AI results into dashboards, APIs, or automation tools. Bachelor's or Master's in CS, Data Science, or related field. Proficiency in Python or Node.js; hands-on with FastAPI, LangChain, or spaCy. Strong OCR, NLP, semantic search, and LLM automation. Experience deploying on AWS, GCP, or containerized (Docker/Kubernetes) environments. Familiarity with vector databases (Pinecone/FAISS/Weaviate) and prompt orchestration. Nice-to-have: MLOps and finance/document automation experience (Vertex AI/SageMaker nice). Hybrid flexibility: 4 days per week in Toronto office. Downtown Toronto office in the heart of the city. Comprehensive benefits: 100% health, dental, and vision premiums from day one. Growth and learning resources to upskill. Inclusive, diverse workplace with equal opportunities.

Key Responsibilities
  • Design AI automation pipelines
  • Build OCR-based data extraction for invoices and unstructured docs
  • Develop AI agents for reconciliation, tagging, and anomaly detection
Required Skills & Qualifications
  • Python
  • Node.js
  • FastAPI
  • LangChain
  • spaCy
  • OCR
  • NLP
  • Semantic Search
  • LLM Automation
  • AWS/GCP Experience

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Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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