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Ai Application Developer Jobs in Ontario (NOW HIRING)

Enterprise Application Developer

Toronto, ON · Hybrid

CA$100K - CA$120K/yr

The Enterprise Application Developer is responsible for defining, designing, developing ... Contribute to the research, prototyping, and deployment of AI agent solutions and Model Context ...

Senior Mobile Application Developer We're a naan traditional company... Summary As a Senior Mobile ... Experience with agentic AI systems or AI agents What is the recipe for a great career at FGF?

Developer, AI Transformation Team

Toronto, ON · On-site +1

CA$135K - CA$155K/yr

Role Overview We are looking for an AI Developer based in Canada to join our dynamic team and ... Optimize application and model integration performance for scalability, reliability, latency, and ...

Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications ... Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories ...

Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications ... Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories ...

We value developers who stay efficient by leveraging AI agentic tools to speed up their workflow ... Proven experience with containerized application development (Docker/Kubernetes) within AWS, GCP ...

About us Axiomatic AI is building a new class of AI systems designed to reason with the rigor of ... Position Overview We are seeking an experienced Field Application Engineer with expertise across ...

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Ai Application Developer information

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
What are popular job titles related to Ai Application Developer jobs in Ontario? For Ai Application Developer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Ai Application Developer jobs in Ontario look for? The top searched job categories for Ai Application Developer jobs in Ontario are:
What cities in Ontario are hiring for Ai Application Developer jobs? Cities in Ontario with the most Ai Application Developer job openings:
Infographic showing various Ai Application Developer job openings in Ontario as of August 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Full-time

Posted 3 days ago

New


Job description

Job Description

What is the opportunity?

Join RBC as a hands-on technical lead building production-grade GenAI and Agentic AI applications for Cyber, Risk, Regulatory, Control & Security domains. This is an individual contributor role with no direct reports. You'll build the backend services that power autonomous and semi-autonomous AI agents, and work closely with AI Engineers to turn LangChain/LangGraph prototypes into production applications deployed on OpenShift through our CI/CD pipeline. If you want to write Python backend code, ship to production, and work at the intersection of software engineering and agentic AI in a regulated environment, this role is for you.

What will you do?

  • Build and deploy backend services for Agentic AI applications using Python Django (preferred) or FastAPI, with Celery for async task processing and long-running agent workflows.

  • Work with AI Engineers to productionize their agents and proof-of-concepts, turning LangChain/LangGraph prototypes into well-tested backend applications that run reliably in production.

  • Deploy and operate applications on OpenShift Container Platform (OCP) and Kubernetes, using the Helios CI/CD pipeline to ship frequently.

  • Build and maintain RESTful APIs that serve AI-powered applications, including authentication (OAuth2/JWT), rate limiting, input validation, and security controls appropriate for a regulated bank.

  • Integrate AI capabilities into backend services: RAG pipelines, MCP (Model Context Protocol), A2A (Agent-to-Agent Protocol), multi-agent systems, and LLM-powered workflows. Profile and optimize AI application performance, including LLM token cost management, caching strategies, latency reduction, efficient agent orchestration, and production observability using OpenTelemetry, Langfuse, or LangSmith.

  • Write unit and integration tests for backend services and agent workflows, and participate in code reviews to set the quality bar for the team.

  • Mentor other engineers on backend and productionization best practices, collaborate with product owners, data scientists, and business stakeholders, and contribute to secure coding and AI safety guardrails for a regulated financial services environment.

What do you need to succeed?

Must-Have:

  • 5+ years of software engineering experience with strong Python proficiency, including at least 2 years building backend services with Django, FastAPI, or a comparable framework.

  • Hands-on experience with Celery or similar async task processing for managing long-running or distributed workloads.

  • Strong understanding of API security, including authentication/authorization (OAuth2, JWT), rate limiting, input validation, and secure API design patterns.

  • Experience deploying and operating containerized applications on Kubernetes or OpenShift, and working with CI/CD pipelines (GitHub Actions, Jenkins, or equivalent).

  • Familiarity with GenAI application patterns such as RAG, Agents, Agent orchestration, MCP, A2A, and multi-agent systems. Some hands-on experience with LangChain, LangGraph, or similar frameworks is preferred.

  • Experience with AI observability and traceability tools (OpenTelemetry, Langfuse, or LangSmith), and proficiency with agentic coding tools (Claude Code, Cursor, Windsurf, Devin, or similar).


Nice to Have

  • Experience with PostgreSQL, Redis, or vector databases (pgvector, FAISS, Milvus).

  • Familiarity with Vue.js or React for occasional cross-stack work.

  • Exposure to LLM providers (OpenAI, Anthropic Claude, Cohere, Llama), prompt/context engineering, and LLM cost optimization techniques such as token tracking, prompt compression, caching, and model routing.

  • Familiarity with monitoring stacks (Grafana, Prometheus) and secure coding practices (SAST/DAST).

What's In For You?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

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

  • Opportunities to take on progressively greater accountabilities.

  • Access to a variety of job opportunities across business and geographies.

#LI-POST
#TECHPJ

Job Skills

Back-End Development, Django Web Framework, Docker (Software), Generative AI, Integration Testing, Kubernetes, OAuth, Prometheus (Software), Python (Programming Language), Red Hat OpenShift, RESTful APIs

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:

2026-08-06

Application Deadline:

2026-08-31

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.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME