Level

RBC

Senior Software Engineer - Fullstack

AI in this role

claude
prompt-engineeringragllm-integration

Job Description

WHAT IS THE OPPORTUNITY?

RBC Capital Markets is a leading global investment banking company dedicated to providing services in banking, finance, and capital markets to corporations, institutional investors, asset managers, and governments globally. The Funding and Liquidity Technology group within RBC Capital Markets' Quantitative and Technology Services (QTS) organization is responsible for supporting the business units that manage both secured and unsecured funding within Capital Markets.

We're building an internal analytics platform for institutional equities — serving Sales Traders, Portfolio Managers, and Analysts. The platform delivers real-time desk flow monitoring, research & sentiment analysis, AI-powered insights, and market intelligence within a modern, high-performance web application built on a Turborepo monorepo.

We are looking for a Senior Fullstack Engineer to design, build, and scale core features across the entire stack — from interactive frontend dashboards to backend data services and AI integration layers. You'll work closely with traders and portfolio managers to ship tools that directly impact trading decisions.

WHAT WILL YOU DO?

  • Build & own features end-to-end across a Next.js 16 frontend, Node.js/Express backend services, and Python/FastAPI AI service layer
  • Design and implement real-time data flows using WebSockets (Socket.IO), Kafka consumers, and streaming AI responses (SSE)
  • Develop rich, data-dense UIs — interactive charts (Highcharts), grids, dashboards with drag-and-drop widget layouts, and a conversational AI assistant panel
  • Architect and maintain shared packages (store, UI components, charts, types, grid, utils) within the Turborepo monorepo
  • Integrate with capital markets data infrastructure — KDB+/Q real-time and historical databases, time-series data pipelines, and enterprise messaging
  • Build and optimize the BFF proxy layer — auth-validated API proxying, token injection, and request routing to Node.js and Python services
  • Implement caching strategies with Redis (session store, API response cache, rate limiting) and RTK Query (tag invalidation, optimistic updates)
  • Work with AI/LLM integration — orchestrate context for RAG pipelines, handle streamed AI responses, and build prompt-driven features
  • Ensure production reliability — Kubernetes deployments via Helm, reverse proxy routing, horizontal pod autoscaling, and observability with Kibana/Grafana
  • Collaborate with quants, traders, and product to translate desk workflows into high-impact platform features

WHAT DO YOU NEED TO SUCCEED?

Must have:

  • 5+ years of professional software engineering experience with significant full-stack development background.
  • Expert-level TypeScript proficiency and experience working in large, strictly-typed codebases.
  • Deep experience with React and Next.js, including App Router, Server Components, middleware, API routes, and SSR/ISR patterns.
  • Strong backend skills in Node.js, with proven expertise in Express, REST API design, middleware patterns, and async data pipelines.
  • Experience managing state at scale using Redux Toolkit and RTK Query, including cache tags, optimistic updates, and code-splitting slices.
  • Proven ability to design and implement real-time systems using WebSockets, Socket.IO, Server-Sent Events, or similar push-based architectures.
  • Demonstrated proficiency with MongoDB (Mongoose ODM) and Redis, including caching patterns and pub/sub implementations.
  • Hands-on experience with monorepo tools such as Turborepo, Nx, or Lerna for managing shared packages and build pipelines.
  • Experience implementing secure authentication and authorization systems, including OAuth2/OIDC, JWT, LDAP/AD integration, and session management with NextAuth.js.
  • Proficiency containerizing applications using Docker and deploying to Kubernetes with Helm charts, managing pod scaling, health checks, and deployment strategies.
  • Strong communication skills for explaining technical trade-offs to non-technical stakeholders, including trading desk teams.

Nice-to-have:

  • Capital markets or financial services background with understanding of equities trading workflows, order flow, and desk structures.
  • Python/FastAPI experience for building or integrating AI/ML service layers.
  • Proficiency with KDB+/Q or time-series databases for querying tick data and managing real-time and historical market data.
  • Experience with AI/LLM integration, including RAG pipelines, prompt engineering, streaming inference, and work with frontier models such as Claude and GPT.
  • Expertise in charting and data visualization using libraries such as Highcharts, D3, or similar tools for financial data.
  • Experience with observability tooling including ELK stack, Prometheus, and Grafana for dashboards and alerting.
  • Knowledge of messaging systems such as Kafka, Solace, or similar event-driven architectures.

What’s in it 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

  • Flexible work/life balance options

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

  • Ability to make a difference and lasting impact

#LI-POST

#TECHPJ

Job Skills

Application Development, Application Integrations, Application Maintenance, Applications Architecture, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System Applications

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CAPITAL MARKETS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-02

Application Deadline:

2026-10-02

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.

How we score this

Senior Software Engineer - Fullstack at RBC scores 23 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRagLlm IntegrationClaude

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How have you integrated a large language model into a production application?
  4. What's a project where you used Claude hands-on?

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, Rag, Llm Integration, and Claude. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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