Senior Software Developer AI & Automation

FCTOakville, ON
Hybrid

About The Position

We are continually searching for great talent; individuals who possess a deep commitment to the customers and markets we serve. If you would like to join a company that is committed to the success of each employee and offers challenge, purpose and the opportunity to grow both personally and professionally in a team-oriented environment, you'll enjoy a career with us! We understand that fostering a diverse and inclusive environment is critical for the success of our business, and we actively work towards it every day. We are seeking a high-performing Senior Software Developer - AI & Automation who thrives on solving complex technical challenges and building robust, scalable AI systems. In this role, you will work closely with data scientists, software engineers, and business stakeholders to design, develop, and operationalize advanced AI solutions across a wide spectrum of technologies—including Intelligent Document Processing (IDP), Retrieval-Augmented Generation (RAG), Agentic AI, Conversational AI, Machine Learning, and MLOps. You will take a leading role in architecting and implementing modern AI capabilities using tools such as Azure Content Understanding, LangChain, and LangGraph. The ideal candidate is hands-on, curious, and committed to delivering high-quality solutions that support real-world workflows, automation, and decision-making. This is a role with high expectations, significant visibility, and the opportunity to shape AI strategy and engineering excellence across the organization. This role is ideal for problem-solvers who enjoy tackling complex challenges and delivering high-impact, production-ready AI systems.

Requirements

  • Strong Python development skills and solid software engineering practices.
  • Experience building LLM powered applications using frameworks like LangChain and LangGraph.
  • Hands-on experience with Intelligent Document Processing, ideally using Azure Content Understanding or Agentic Document Processing tools.
  • Understanding of RAG pipelines: embeddings, vector search, and context retrieval.
  • Ability to build conversational or voice-enabled AI solutions using modern language/speech capabilities.
  • Familiarity with deploying and operating AI services (containerization, CI/CD, monitoring).
  • Strong problem solving skills and the ability to collaborate with cross-functional teams.
  • Clear communication skills for explaining technical concepts to both technical and non technical partners.

Nice To Haves

  • Experience with Azure AI services, vector databases, or workflow automation.
  • Exposure to microservices, API design, or cloud ML platforms.
  • Curiosity and a desire to learn emerging AI technologies.

Responsibilities

  • Design and build Intelligent Document Processing workflows using modern content extraction, classification, and multimodal analysis capabilities.
  • Develop RAG-based AI search systems powered by embeddings, vector databases, and knowledge-driven retrieval pipelines.
  • Implement agentic AI solutions using frameworks such as LangGraph and LangChain to create autonomous, multi-step workflows that interact with tools, APIs, and enterprise systems.
  • Build advanced conversational AI experiences, including both chat and voice interfaces, using NLU/NLP, ASR/TTS, and context-aware dialogue management.
  • Develop, train, and refine machine learning and deep learning models to support forecasting, classification, personalization, fraud detection, valuation, and decision automation.
  • Implement MLOps pipelines that support model deployment, governance, monitoring, drift detection, and continuous improvement.
  • Collaborate with cross-functional teams to translate business requirements into scalable AI solutions aligned with enterprise standards.
  • Document solution architectures, workflows, operational procedures, and integration patterns to ensure reliability and maintainability.
  • Stay current with emerging AI technologies, frameworks, and best practices—and contribute to the team’s culture of innovation.

Benefits

  • Through mentoring, innovative tools, and a variety of programs that engage and reward, we empower each employee to be great and drive results.
  • Comprehensive benefits that include Employee and Family Assistance Program (EFAP) and Wellness Essentials
  • Group retirement savings plan with company match
  • Paid holidays and generous paid time off
  • Hybrid work arrangements
  • Paid volunteer opportunities and charitable donation matching
  • Employee recognition programs that include referral incentives
  • Potential for performance-based incentives
  • The opportunity to participate in our stock purchase plan
  • And more!
  • As per terms of the employment agreement
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