E
Epic Games
Principal Research Programmer (Unreal Assistant)
Skills
Python
15 days ago
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Important information
Contract type:
Permanent
Location:
Vancouver, BC, Canada
Work mode:
Onsite
Published on:
10 October 2026
What they need
- 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- Excellent written and verbal communication skills
- BS/MS in Computer Science or a related field
- Strong software programming background with hands-on experience in a game engine (Unreal Engine strongly preferred), including engine architecture and tooling/editor scripting
- Excellent programming skills across C++ (engine-side) and Python and/or a web backend language
- Experience with cloud-native services and infrastructure: web APIs, databases, and service architecture and deployment
- Ability to work full-stack and reason about tradeoffs across engine code, backend services, and a web front end
- 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
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