Full Stack Developer - Analytics & AI Team

About the Role

Join Scotiabank as a Software Developer (Level 6) in the Analytics & AI group, where you'll build scalable, secure applications that enable data-driven automation and AI workflows. This position involves full-stack development duties encompassing frontend, backend, data integration, and AI-powered solutions.

Key Responsibilities

• Develop and maintain full-stack web applications including responsive and accessible user interfaces using frameworks like React, Angular, or Vue.
• Create backend services and APIs leveraging languages such as Python, Node.js, or Java.
• Work with SQL and NoSQL databases to manage relational and non-relational data.
• Contribute to AI-enhanced applications including Retrieval-Augmented Generation (RAG), workflow orchestration technologies like LangChain and LangGraph, and agent-based automation systems.
• Integrate internal and external APIs, handle data transformation tasks, ETL processes, and ensure data quality within analytics and AI contexts.
• Produce clean, maintainable, and well-tested code while adhering to secure coding and enterprise governance standards.
• Engage in collaborative agile processes alongside engineering, data science, and business teams to translate requirements and deliver effective solutions.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• Between 1 to 3 years of software development experience including internships, academic projects, or professional work.
• Proficiency in programming languages such as Python, JavaScript/TypeScript, or Java.
• Hands-on experience with frontend frameworks like React, Angular, or Vue, and backend/API development including RESTful or microservices architectures.
• Familiarity with version control processes using Git and collaborative workflows.
• Exposure to AI technologies, particularly large language models and agentic AI frameworks such as LangChain, LangGraph.
• Knowledge of AI concepts including prompt engineering, structured output generation, RAG architectures, and vector databases like FAISS or Pinecone.
• Experience or awareness of cloud platforms, ideally Microsoft Azure, as well as containerization (Docker) and CI/CD automation tools.
• Understanding of MLOps practices and deployment in regulated or financial technology environments is advantageous.

Benefits & Culture

• Competitive compensation package with bonus eligibility and comprehensive benefits starting from day one including flexible vacation, personal and sick leave.
• Inclusive workplace committed to diversity, equity, inclusion, and allyship with active Employee Resource Groups representing varied identities and experiences.
• Accessibility focused, offering workplace accommodations and barrier removal to foster an inclusive environment.
• Career growth opportunities supported by ongoing professional development.
• Participation in an employee referral program with potential monetary rewards.

Location

Onsite role based in Toronto, Ontario, Canada.

Additional Information

Scotiabank is dedicated to its employees’ growth and the communities it serves. Accommodations during recruitment are available upon request. Only applicants selected for an interview will be contacted. All postings remain open for a minimum of five days.