Senior Software Engineer, AI Game Creation Platform

TL;DR

Senior Software Engineer (AI, Gamedev): Building and optimizing a production-scale AI orchestration system for game creation with an accent on multi-agent systems, Unreal Engine integration, and scalable cloud infrastructure. Focus on architecting intelligent backends, translating user requests into game development actions, and ensuring system reliability for thousands of concurrent users.

Location: Based in Montreal with a hybrid model requiring collaboration in the office 1-2 days a week.

Company

hirify.global is building GameFrame AI, a platform that allows developers to create complex, professional games using natural language, leveraging battle-tested expertise from AAA game development.

What you will do

• Design and build advanced multi-agent orchestration systems (LangGraph Swarm, ReAct) to translate user requests into game development actions.
• Engineer the crucial link between AI systems and Unreal Engine, developing a robust translation layer for programmatic framework configuration.
• Architect and scale a distributed, multi-user backend on cloud infrastructure (AWS/GCP, Kubernetes).
• Build multi-provider LLM orchestration, hybrid memory systems, and real-time streaming responses over WebSockets.
• Implement enterprise-grade observability, monitoring, and robust failover systems to support thousands of concurrent users.

Requirements

• Expert-level backend engineering in Python (3.11+), including microservices with FastAPI and async/await patterns.
• Proven production experience with PostgreSQL, Redis, real-time WebSocket systems, Docker, and Kubernetes in a cloud environment (AWS/GCP).
• 1-2+ years of hands-on experience building applications that leverage AI systems (e.g., LangChain/LangGraph, production RAG systems with Pinecone/Weaviate).
• Strong understanding of Unreal Engine concepts (Actors, Components, Blueprints) with at least 2 years of professional or significant personal project experience.

Nice to have

• Experience building production React applications with TypeScript and Next.js.
• Advanced prompt engineering techniques (e.g., Chain-of-Thought).
• Experience designing and implementing evaluation frameworks for AI agent performance.

Culture & Benefits

• Hybrid model based in Montreal, with 1-2 days a week in the office.
• Competitive salary and a significant equity package with high growth potential.
• Comprehensive health, dental, and vision package, plus flexible PTO.
• Professional development budget for conferences, a hardware stipend, and dedicated research time.
• Opportunities for conference speaking, dedicated time for open-source contributions, and direct access to cutting-edge AI research partnerships.