Software Developer - AI

RBC; Toronto; On-site; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Stock options where applicable

Total rewards program

Professional development support

Flexible benefits

Job summary

RBC is seeking a Software Developer - AI Engineer in Toronto to design and implement agentic AI solutions and LLM applications using Python. You will lead NLP/Generative AI projects, build scalable, secure systems, and collaborate with security teams to enhance enterprise AI capabilities.

The role emphasizes hands-on development, architecture, and mentorship within a fast-paced, security-focused environment. Strong Python, AI frameworks, and cloud deployment experience are required.

Qualifications

• 4+ years in professional software development with 3+ years in AI/ML apps.
• Expert-level Python production-grade coding skills.
• Experience designing and deploying NLP/Generative AI apps.
• Knowledge of vector databases, LLMs, and RAG architectures.
• Proficiency with AI frameworks (FastAPI, LangChain, LangGraph) and NumPy/Pandas.
• Strong frontend skills with React/JavaScript and full-stack capabilities.
• Experience with Git and GitHub Actions; cloud platforms and web services.

Responsibilities

• AI Architecture and Development: design, develop, and optimize NLP/Generative AI apps in Python.
• Frontend and Full-stack: build responsive interfaces; integrate AI backends with frontend.
• Applied AI Innovation: lead AI-driven security tools, embeddings, and prompt engineering.
• Deployment: design deployment pipelines to OpenShift/AWS/Azure; Docker containers; CI/CD with GitHub Actions.
• Security and Integration: architect secure AI apps; integrate with SIEM systems.
• Technical Leadership: conduct code reviews and promote best practices in Python and AI frameworks.
• Cross-functional Collaboration: partner with security, product, and business stakeholders.

Skills

Python

AI/ML development

NLP/Generative AI

Vector databases

LLMs

LangChain/LangGraph

GitHub Actions

Cloud platforms (Azure/AWS)

Docker

Tools

Docker

Git

OpenShift

REST/SOAP

SQL/NoSQL

Kubernetes

Job description

Job Description

Software Developer - AI Engineer

We’re looking for a talented AI / Software Developer Engineer with expertise in Python programming and applied AI systems who will drive the design and implementation of sophisticated agentic AI solutions and Large Language Model (LLM) applications. This is a unique opportunity to build next-generation AI technologies for delivering advanced AI solutions to enterprise environments.

At RBC Global Security, you’ll be joining a team that builds AI solutions to increase the security posture across the organization and enhance developer experience. The team has access to rich datasets and computational resources to support development in agentic AI systems, LLM applications, and intelligent security platforms. The role involves strategic design, hands‑on development, mentorship, and execution to ensure objectives are accomplished with excellence.

What will you do?

• AI Architecture and Development: Design, develop, and optimize sophisticated NLP and Generative AI applications using Python that are scalable solutions for agentic AI systems, RAG pipelines, and LLM integrations

• Frontend and Full-stack Implementation: Build responsive, user-centered interfaces using React and JavaScript; create seamless integration between AI backends and frontend components; ensure optimal user experience across platforms

• Applied AI Innovation: Lead the development of AI-driven security tools and intelligent automations; leverage vector databases, embedding strategies, and advanced prompt engineering; stay at the forefront of emerging AI trends and technologies

• Deployment and Infrastructure: Design and maintain robust deployment pipelines to cloud platforms (OpenShift, Azure, AWS); containerize applications using Docker; build CI/CD workflows with GitHub Actions

• Security and Integration: Architect cybersecurity applications for scalability and resilience; integrate Gen AI solutions with SIEM systems; ensure security best practices throughout the development lifecycle

• Technical Leadership: conduct code reviews; drive best practices in Python development, AI frameworks, and architectural patterns

• Problem Solving and Optimization: Perform root cause analysis for complex issues; develop back-end components that maximize responsiveness and performance; optimize applications for scalability and security

• Cross-functional Collaboration: Partner with security architects, product teams, and business stakeholders to translate requirements into innovative AI solutions

What do you need to succeed?

Must-have

• 4+ years of professional software development experience, with 3+ years focused on AI/ML applications

• Expert-level Python programming proficiency; demonstrated ability to write production-grade, efficient, and maintainable code

• Deep experience designing and deploying NLP and Generative AI applications

• Proven expertise with vector databases, LLMs, and RAG pipeline architectures

• Advanced proficiency with AI frameworks (FastAPI, LangChain, LangGraph) and Python libraries (NumPy, Pandas, scikit-learn)

• Strong frontend development skills with React and JavaScript; ability to build or architect full-stack AI solutions

• Experience with Source Code Management (Git) and GitHub Actions

• Solid understanding of cloud platforms (OCP, Azure, AWS) and web services (SOAP, REST)

• Knowledge of SQL and NoSQL database design and optimization

• Proficiency with middleware technologies (MQSeries/Kafka, Redis)

• Strong understanding of cybersecurity practices and secure coding principles

Nice-to-have

• Experience with Docker and containerization platforms

• Certification in cloud platforms (AWS, Azure)

• Experience with MLOps tools and frameworks

• Background in natural language processing or machine learning research

• Knowledge of emerging AI technologies (transformer architectures, prompt engineering techniques)

Professional Skills

• Exceptional written, verbal, and presentation communication skills; ability to explain complex AI concepts to non-technical stakeholders

• Natural mentor with strong team and individual contributor capabilities

• Maintains composure and demonstrates collaborative problem-solving in complex situations

• High standards of professionalism and attention to detail; consistently delivers excellent results

• Self-sufficient and self-directed; thrives in autonomous environments with minimal supervision

• Demonstrates flexibility, creativity, and strategic thinking to address novel challenges

• Analytical mindset with strong achievement orientation

What’s in it for you?

• Comprehensive Total Rewards Program including competitive compensation, bonuses, and flexible benefits

• Stock options where applicable

• Leaders who actively support your professional development and growth opportunities

• The ability to make meaningful, lasting impact on enterprise AI adoption

• Work within a dynamic, collaborative, progressive, and high-performing team

• World-class training programs in financial services and AI technologies

• Flexible work/life balance options

• Opportunities to work on challenging, cutting-edge AI projects

• Career progression opportunities into principal engineer and leadership roles.

#LI-Post

#TECHPJ

Job Skills

Active Learning, Application Integrations, Detail-Oriented, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

Additional Job Details

Address:

16 YORK ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-25

Application Deadline:

2026-09-15

Note** : **Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.