Senior Full-Stack Engineer - Montreal, Canada

Proficiency in Python and Ruby on Rails with significant backend experience. Experience in designing secure systems, including encryption and document protection. Hands-on expertise in integrating generative AI tools (OpenAI APIs, LangChain, Hugging Face). Strong knowledge of RAG techniques, vector databases (Pinecone, Weaviate), and embedding pipelines. Ability to operationalize AI/ML models and build enterprise client workflows. Frontend development experience in modern frameworks (React, Vue). Computer vision and OCR expertise (nice-to-have). Experience with authentication systems (Okta) and enterprise admin tools (nice-to-have). Experience in DevOps, CI/CD, and secure release management (nice-to-have). Background in security evaluations and vulnerability assessments (nice-to-have). Strong testing background with automated and manual testing. Ability to manage data recovery, audits, and compliance workflows. Strong problem-solving and analytical skills with attention to detail. Excellent communication and collaboration skills.

Develop backend algorithms for content processing and LLM integration. Build APIs and services for application content workflow management. Create secure PDF upload workflows with encryption. Integrate authentication mechanisms like Okta. Enable data recovery, auditing, and administrative tools. Collaborate on operationalizing AI/ML models (OCR, generative AI). Implement RAG use cases using vector databases and embedding techniques. Design workflows for large-scale data processing for AI integrations. Establish CI/CD pipelines and release structures. Conduct security evaluations and performance optimizations. Manage infrastructure and workflows for custom AI solutions. Build integrations and proof-of-concept applications with AI technologies. Evaluate and implement tools for classification, indexing, and data management. Support development of enterprise-grade AI solutions and custom LLMs.