AI Engineer - Quantitative Technology Services

Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is hiring a hands-on AI Engineer to build, manage and deploy cutting edge AI solutions for Investment Research, Banking, Sales and Trading.

Quantitative & Technology Services (QTS) delivers innovative solutions for RBC Capital Markets in a strong partnership with Technology & Operations (T&O). We are a cross-asset development organization focused on providing our clients with a modern and quantitative platform. We leverage Digital, Data and AI to deepen our client relationships. We support our clients in Lending & Finance, Advisory & Origination and Client Trading & Market Making. We have commercial products that are helping out customers navigate cash management (RBC Clear) and electronic trading (Aiden).

You'll work with technologies like FastAPI, LangChain, LangGraph, and Cohere, while integrating with data sources like Snowflake, Azure Blob, and S3. You'll be part of a team working on GenAI Initiatives, building systems that orchestrate models, tools and data into intelligent, context-aware pipelines.

What you will do

• Build robust backend services and APIs using Python (FastAPI, asyncio) for GenAI workflows and LLM-based systems.

• Develop and maintain GenAI applications using tools like LangChain, LangGraph, and Cohere, integrating them with custom APIs and data sources.

• Contribute to systems that enable intelligent routing of prompts, dynamic tool execution, and seamless model-data integration across multiple sources

• Write clean, modular code for model integration, semantic search, and multi-step agent workflows.

• Package and deploy applications using Docker and Kubernetes, ensuring scalability and security.

• Collaborate with data engineers, AI scientists, and infra teams to ship end-to-end features- quickly, without sacrificing quality.

What you need to succeed

Must Have

• Strong backend development skills in Python with FastAPI and async programming.

• Experience deploying services with Docker and Kubernetes in a cloud environment.

• Familiarity with LLM APIs (OpenAI, Cohere) and how to build prompt-based applications around them.

• Solid understanding of LangChain, LangGraph, or other LLM orchestration frameworks.

• Comfortable writing and debugging PySpark jobs and working with Delta Lake in Databricks.

• Experience working with APIs, JSON schemas, structured/unstructured data, and task automation.

• Experience working with Git workflows, CI/CD, and container-based deployments.

• Degree in Computer Science or Engineering

Nice to Have

• Experience building systems like:

• Prompt chaining agents using LangChain or similar

• RAG pipelines or semantic routing for LLMs

• Model registries or dynamic tool APIs

• Exposure to Snowflake, Airflow, MLflow, or equivalent platforms.

• Worked with web scraping, geospatial, or alt-data sources in an AI pipeline.

• Strong generalist mindset - can pick up new tools, debug full-stack workflows, and adapt to evolving LLM stacks.

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

The expected salary range for this particular position is $100K - $135K depending on your experience, skills, and registration status, market conditions and business needs.

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Additional Job Details

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At 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.