Fullstack AI Engineer - GFT Halifax at Royal Bank of Canada

Dartmouth, Nova Scotia, Canada -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI, Agile Methodology, AI Agents, Prompt Engineering, Python, React.js, RDBMS, Django, Django REST Framework, LlamaIndex, LangChain, PostgreSQL, Docker, OpenShift, OAuth 2.0, RAG

Industry

Financial Services

Description

Job Description WHAT IS THE OPPORTUNITY? Are you a passionate, innovative, and results-driven AI engineer who excels at building intelligent applications that transform how enterprise teams work? If so, we invite you to join our team! Global Functions Technology (GFT), part of RBC's Technology and Operations division, collaborates across the company to deliver cutting-edge AI solutions for our Risk, Audit, and Finance clients. We foster a culture of innovation, encouraging bold ideas and challenging the status quo. At GFT, you'll have opportunities to develop your technical, business, and professional skills, connect with colleagues through networking events, and benefit from mentorship and leadership support. Our leaders are committed to celebrating achievements and sharing knowledge to drive collective progress. WHAT WILL YOU DO? Design, develop, and deploy production-grade AI agents and LLM-powered workflows using Python, Django, and Django REST Framework. Integrate and orchestrate large language models (e.g., Claude, GPT) via API gateways, including prompt engineering, structured output parsing, function/tool calling, and multi-step reasoning chains. Build robust agentic workflows using frameworks such as LlamaIndex or LangChain, including event-driven multi-step pipelines, retrieval-augmented generation (RAG), and autonomous task execution. Design and implement asynchronous background task systems for long-running AI workloads, including worker orchestration, task queuing, and progress tracking against PostgreSQL backends. Develop RESTful APIs to expose AI capabilities to frontend applications and downstream services. Integrate ML models and AI services into enterprise applications, including embedding models, similarity search, and document understanding pipelines. Build document processing pipelines to extract and transform unstructured data (DOCX, PDF, VTT, JSON) into structured inputs for LLM consumption. Design and manage PostgreSQL schemas supporting complex AI workflows, including versioned data, audit trails, and session state management. Deploy and manage AI applications on OpenShift Container Platform (OCP) using Docker, with a strong focus on reliability, scalability, and security. Implement enterprise security patterns including OAuth 2.0 token management, SSL certificate handling, and secure credential management for LLM API integrations. Apply prompt safety techniques and output validation strategies to ensure responsible and reliable AI behavior in production. WHAT DO YOU NEED TO SUCCEED? Must have: 2–4 years of hands-on Python development experience, with strong proficiency in Django and Django REST Framework Demonstrated experience building and deploying LLM-integrated applications using APIs such as OpenAI, Anthropic Claude, or AWS Bedrock Solid understanding of prompt engineering, tool/function calling, structured output generation, and multi-turn conversational AI patterns Experience with agentic AI frameworks such as LlamaIndex or LangChain, including workflow orchestration and RAG pipelines Strong proficiency with PostgreSQL, including schema design, raw SQL, and managing complex relational data models, Experience with asynchronous Python programming (`asyncio`, `sync_to_async`) and background task processing, Familiarity with RESTful API design, including building and consuming APIs with proper error handling and versioning Experience containerizing and deploying applications using Docker and OpenShift or Kubernetes, Knowledge of security protocols relevant to AI integrations: OAuth 2.0, API key management, and secrets handling best practices Nice-to-have: Experience with document processing libraries (python-docx, pdfplumber, PyPDF2) and unstructured data extraction Exposure to vector databases or semantic search for embedding-based retrieval Experience with ML model evaluation, confidence scoring, or output quality validation Experience with CI/CD pipelines (GitHub Actions, Jenkins) and DevSecOps practices Exposure to enterprise audit, risk, or finance domain workflows What’s in it for you? We thrive on the challenge to be our best, applying progressive thinking to keep growing, and working together to deliver trusted AI-powered solutions that help our clients and communities prosper. We care about each other, reaching our potential, and achieving success that is mutual. Impactful work: Build meaningful, high-impact AI products used by enterprise audit and risk teams Growth & mentorship: Leaders who support your development through coaching and expanding opportunities Lasting impact: Ability to make a real difference through state-of-the-art AI engineering Great team: Work in a dynamic, collaborative, progressive, and high-performing environment Work-life balance: Flexible work/life balance options Challenging problems: Opportunities to tackle genuinely hard technical problems at the frontier of enterprise AI Career progression: Opportunities to take on progressively greater accountabilities as the AI platform scales #LI-POST Job Skills Agentic AI, Agile Methodology, AI Agents, Prompt Engineering, Python (Programming Language), React.js, Relational Database Management System (RDBMS) Additional Job Details Address: 120 WESTERN PKY:BEDFORD City: Bedford Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-07-03 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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.

Responsibilities

Design and deploy production-grade AI agents and LLM-powered workflows using Python and Django. Build robust agentic pipelines and integrate AI services into enterprise applications for Risk, Audit, and Finance clients.