Fullstack AI Engineer - GFT

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.

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 Llama Index or Lang Chain, 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 Open Shift 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 Llama Index or Lang Chain, 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, _async) and background task processing, Familiarity with RESTful API design, including building and consuming APIs with…