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Principal Research Programmer

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Onsite

Principal Research Programmer

Epic Games

Principal Research Programmer

Skills

Python

1 month ago

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Important information


Salary:

CA$274,049 – CA$401,939 / year

Location:

Vancouver, BC, Canada

Work mode:

Onsite

Published on:

10 October 2026

What they need


Who you are

  • Strong software programming background with hands-on experience in a game engine (Unreal Engine strongly preferred), including engine architecture and tooling/editor scripting
  • Practical experience building or shipping products powered by LLMs (agents, tool-calling, RAG, prompt/context programming), or a strong conceptual understanding of how LLMs work
  • Experience with cloud-native services and infrastructure: web APIs, databases, and service architecture and deployment
  • Excellent programming skills across C++ (engine-side) and Python and/or a web backend language
  • Ability to work full-stack and reason about tradeoffs across engine code, backend services, and a web front end
  • Excellent written and verbal communication skills
  • BS/MS in Computer Science or a related field

What the job involves

  • We're looking for a Principal Al Programmer who builds products that integrate Al into Unreal Engine
  • You'll design and ship the full stack of systems that let LLMs act inside the engine (from end to end, not just a single layer), bringing depth in game engine architecture, cloud services, and how LLMs actually work
  • Design and build LLM-driven agents and tools that operate directly inside Unreal Engine, including engine-side C++/Python tooling and editor scripting
  • Design and extend the cloud-hosted agent harness, services, and database that mediate between LLMs and the engine
  • Work across the full stack (engine tooling, cloud backend, and the web UI used to drive and monitor agents) to ship end-to-end features
  • Evaluate and integrate emerging LLM capabilities (tool use, multi-agent orchestration, context management) into Epic's engine and pipeline tooling
  • Define technical direction for the reliability, safety, and evaluation of LLM-driven engine automation
  • Partner closely with engine, tools, and backend programmers, and mentor others on both game engine internals and LLM system design

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