Software Engineer (AI Engineer)

ScotiabankToronto, ON
Onsite

About The Position

You will be a member of the AI Engineering and Labs team focused on designing and implementing innovative, intelligent software solutions across the Bank's business lines. Your role will contribute to the organization's AI strategy dedicated to creating value for the Bank and its customers. You will work closely with teams of data scientists, data engineers, product managers, and more senior software engineers to understand global business partner challenges and processes in order to turn those insights into working software solutions.

Requirements

  • University degree in a relevant STEM discipline (Electrical/Computer/Software Engineering, Computer Sciences, Mathematics).
  • 3+ years of experience in software engineering, system design, and integration.
  • Experience developing applications (Python and microservice architecture are preferred).
  • Experience working with databases and key-value data stores (e.g., PostgreSQL, Redis, MongoDB).
  • Experience using a message broker-like service (e.g., RabbitMQ, Kafka, bonus points for GCP Pub/Sub).
  • Concrete understanding of HTTP, REST API design and familiarity with other common networking standards and protocols.
  • Experience using Linux and proficiency with DevOps and tooling.
  • Consistent use of version control (e.g., git).

Nice To Haves

  • Experience with Machine Learning, LLMs, and Agentic AI development (e.g., LangChain, LangGraph, ADK, LangSmith).
  • Experience with Docker/Docker Compose, Kubernetes, GCP.
  • Experience with building/using CI/CD pipelines (e.g., ArgoWF/ArgoCD).
  • Modern JavaScript skills, and experience working with NodeJS, Express, React/Redux and toolsets (Webpack, Babel, Jest).
  • Experience writing/maintaining Helm Charts and working with other IT Automation software (e.g., Ansible, Terraform).

Responsibilities

  • Design and implement innovative, intelligent software solutions.
  • Contribute to the organization's AI strategy.
  • Work closely with data scientists, data engineers, product managers, and senior software engineers.
  • Understand global business partner challenges and processes.
  • Turn insights into working software solutions.
  • Gather and refine business requirements.
  • Contribute to clear technical specifications.
  • Perform research and design efficient solutions.
  • Adhere to industry best practices and organizational policies.
  • Share ideas with the team.
  • Document designs, deliverables, operational and support runbooks and processes.
  • Take on new challenges.
  • Continuously improve existing software products.
  • Derive insights out of data and apply them to address business opportunities.

Benefits

  • Competitive compensation and benefits package.
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