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Added 20 hours ago
Staff AI Builder
Robots & Pencils
Canada
Full-time
We’re looking for a Staff AI Builder to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently…
Added 22 hours ago
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 23 hours ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Designing and building end-to-end AI/ML and Generative AI solutions, including LLM applications, RAG pipelines, agentic workflows, and traditional ML models.
Added 23 hours ago
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 23 hours ago
Senior AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Set technical direction and best practices for GenAI and agentic solution design, including evaluation methodology, guardrails, and reliability of LLM-powered systems.
Added 1 day ago
Ingénieur(e) solutions sénior
ChapsVision
Montreal, QC
Full-time
Expérience en recherche propulsée par l’intelligence artificielle : LLM, RAG, génération d’embeddings et optimisation de la pertinence des résultats.
Added 1 day ago
Senior Solutions Engineer
ChapsVision
Montreal, QC
Full-time
As a Senior Solutions Engineer, you will serve as a senior technical lead on our most strategic and complex customer engagements. You will architect scalable search solutions, drive…
Added 3 days ago
Senior AI Engineer
CI Financial
Toronto, ON
Full-time
Set technical direction and best practices for GenAI and agentic solution design, including evaluation methodology, guardrails, and reliability of LLM-powered systems.
Added 3 days ago
Generative AI Cloud Operations Engineer - Evinova
Evinova
Mississauga, ON
Full-time
As a Generative AI Cloud Operations Engineer for clinical trial design, planning, and operational optimization on our team, you will lead the development and management of AI operations…
Added 4 days ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
As a Generative AI Cloud Operations Engineer for clinical trial design, planning, and operational optimization on our team, you will lead the development and management of AI operations…
Added 7 days ago
Senior Forward-Deployed AI Engineer
Bell
Toronto, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 6 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 6 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 6 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 6 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 6 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 7 days ago
Lead Product Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
RAG-based applications and agentic AI workflows; LLM/GenAI research background
Added 8 days ago
Lead Product Engineer (Global Security)
RBC
Toronto, ON
Full-time
RAG-based applications and agentic AI workflows; LLM/GenAI research background
Added 9 days ago
Staff AI Application Engineer
Royal Bank of Canada
Toronto, ON
Full-time
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…
Added 8 days ago
Manager, Product Engineering & Development - Full-Stack Builder
Deloitte
Toronto, ON
Full-time
AI-enabled delivery: build AI-accelerated engineering solutions: LLM/SLM integration, RAG architectures, vector databases, and agentic workflows, and prove them out in working systems…
Added 9 days ago
Staff AI Application Engineer
RBC
Toronto, ON
Full-time
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…
Added 9 days ago
Principal Consultant, GenAI
Lovelytics
Toronto, ON
We’re looking for a GenAI Engineer who's already taken GenAI from concept to production on Databricks. Joining our GenAI practice means you’ll design and deploy solutions that work in the…
Added 21 days ago
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
Full-time
Build or integrate agentic workflows and retrieval-augmented generation (RAG) solutions that ground model responses in enterprise data and knowledge sources.
Added 27 days ago
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
$113,000 to $152,000 CAD / year
Full-time
Both halves sit on the AI Foundation. Today that foundation includes a GenAI agent framework, a tool system, vector stores, streaming and telemetry, and a separate ML service; the near-term…
Added 13 days ago
Senior Machine Learning Engineer, GFT
Royal Bank of Canada
Toronto, ON
Full-time
As a Senior Machine Learning Engineer, you will be a key member of a team, developing and deploying large-scale GenAI applications for enterprise use cases. You will build and optimize…

RBC

Staff AI Application Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 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.
Posting language: English
Posted: Sep 16, 2026

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Original 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.

#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:

2026-10-31

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.

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More about this job

Responsibilities

Build and deploy backend services for production-grade GenAI and Agentic AI applications within a regulated financial environment. Collaborate with AI engineers to productionize prototypes and ensure reliable performance using CI/CD pipelines and container orchestration.

Requirements

Requires 5+ years of software engineering experience with strong Python proficiency and at least 2 years of backend framework experience. Must have hands-on experience with containerization, API security, and modern AI application patterns like RAG and agent orchestration.

Skills

Python
Django
FastAPI
Celery
Kubernetes
OpenShift
CI/CD
RESTful APIs
OAuth2
JWT
GenAI
LangChain
LangGraph
OpenTelemetry
Agentic AI
RAG

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock options
Professional development coaching

Visa sponsorship

Not detected in the job text

Keywords

Python
Django
FastAPI
Celery
Kubernetes
OpenShift
GenAI
LangChain
LangGraph
RESTful APIs
OAuth2
JWT
RAG
OpenTelemetry
Langfuse
LangSmith
PostgreSQL
Redis
Vector databases
CI/CD
GitHub Actions
Jenkins
Agentic AI
Model Context Protocol
A2A Protocol
Financial services
Software engineering
Backend development
Containerization
Observability

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