[ENG AI] AI Platform Engineer – Gameframe

Ironbelly Studios; Quebec; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A game development company in Quebec is seeking an AI Systems Architect to design and build the core AI orchestration layer for their innovative platform. The role involves working on advanced multi-agent systems and real-time AI responses. Candidates should have a strong background in AI/ML systems, backend engineering, and proficient knowledge of Python. The position offers a compelling salary, equity options, and unique development perks.

Benefits

Health, dental, vision

Flexible PTO

Professional development budget

Hardware stipend

Qualifications

• 2+ years building production AI systems
• Experience across OpenAI, Anthropic, Google
• High-level LangChain/LangGraph experience

Responsibilities

• Architect core AI orchestration layer
• Design advanced multi-agent systems
• Implement intelligent context management

Skills

AI/ML Systems Mastery

Backend Systems Engineering

Expert Python 3.11+

Real-time WebSocket management

Tools

PostgreSQL

FastAPI

Docker

Job description

Transforming Game Development Through AI

GameFrame AI is revolutionizing how games are created. We're not just another AI wrapper; we're architecting the future of creative development

The Challenge: Design and build sophisticated real-time interfaces that seamlessly blend conversational AI with game development workflows, supporting multi-agent coordination, real-time streaming responses, and complex game engine integrations - all while scaling to 1000's of concurrent users

The Role: AI Systems Architect

As our AI Platform Engineer, you will collaborate with our CTO toarchitect and build the core AI orchestration layer that powers our revolutionary platform. You'll be designing novel multi-agent systems that understand game development at a semantic level and coordinate complex workflows across distributed VM infrastructure.

You'll work at the intersection of cutting-edge AI research and production-scale systems engineering, building technology that has never existed before: real-time, multi-user AI orchestration for game development.

What You'll Build

Advanced Multi-Agent Orchestration

• Design and implement LangGraph Swarm architectures with 7+ specialized agents working in concert
• Build custom ReAct agents with sophisticated tool-calling capabilities and error recovery
• Implement constitutional AI layers for safety, consistency, and domain-specific constraints
• Create agent communication protocols for coordinating complex, multi-step game development tasks
• Implement intelligent context management for game development workflows
  
• Create continuous learning systems that improve agent performance through user interactions

Production AI Infrastructure

• Architect multi-provider LLM orchestration (OpenAI, Anthropic, Google) with intelligent fallback and cost optimization
• Build hybrid memory systems combining conversation, entity, and semantic memory with Pinecone vector search
• Implement real-time streaming AI responses integrated with WebSocket infrastructure
• Design distributed agent systems that scale across multiple VM instances and user sessions

Production-Scale Architecture

• Design session routing and VM orchestration for isolating user AI contexts
• Build auto-scaling AI infrastructure that handles traffic spikes while optimizing costs
• Implement comprehensive observability for AI systems with distributed tracing and performance monitoring
• Create robust error handling and failover systems for production reliability

Technical Environment ️

AI/ML Stack

• Core: LangChain, LangGraph, Langsmith, Langfuse
• APIs: LiteLLM,OpenAI/Anthropic/Google
• Memory: Neo4j, Graphiti,Pinecone, Weaviate, Redis, custom embedding systems.
• Frameworks: Custom agent orchestration, constitutional AI layers
• Evaluation: Custom testing frameworks, performance monitoring

Backend Infrastructure

• API: FastAPI, Python 3.11+, async/await patterns
• Database: PostgreSQL 15, TimescaleDB, Redis caching
• Real-time: WebSocket, streaming protocols, pub/sub systems
• Infrastructure: Docker, Kubernetes, AWS/GCP, auto-scaling, tailscale, Portainer,

Integration Layer

• Game Engines: Unreal Engine, Unity
• VM Orchestration: Custom session routing, multi-user isolation
• Monitoring: Prometheus, Grafana, distributed tracing

Your Technical Expertise

Required: AI/ML Systems Mastery

• 2+ years building production AI systems
• High-level LangChain/LangGraph experience including custom agents, state machines, memory systems, and chain optimization
• Deep neural network understanding including transformer architectures, attention mechanisms, embedding spaces, and model limitations
• Production RAG systems with advanced chunking strategies, reranking, hybrid search, and context optimization
• Multi-provider LLM integration with experience across OpenAI, Anthropic, Google, and local model orchestration

Required: Backend Systems Engineering

• Expert Python 3.11+ with FastAPI, async/await patterns, and microservices architecture
• Production database systems including PostgreSQL optimization, TimescaleDB, and Redis caching strategies
• Real-time systems with WebSocket management, streaming protocols, and low-latency processing
• Container orchestration with Docker, Kubernetes, and cloud infrastructure (AWS/GCP)
• Distributed systems design patterns, fault tolerance, and observability

Preferred: AI Research & Innovation

• Open-source contributions in AI/ML
• Advanced prompt engineering including few-shot, chain-of-thought, and tree-of-thought techniques
• Evaluation frameworks for automated testing of AI agent performance and prompt regression testing
• Mixture of Experts patterns and agent specialization architectures

Your Impact & Growth

Immediate Impact (First 90 Days)

• Architect core agent systems for Movement and Combat specialists
• Implement multi-provider LLM orchestration with cost optimization
• Build production memory systems with Pinecone integration
• Design evaluation frameworks for agent performance monitoring

Platform Impact (6-12 Months)

• Scale to 500+ concurrent users with auto-scaling infrastructure
• Launch advanced agent capabilities including code generation and semantic understanding
• Implement continuous learning systems that improve through user interactions
• Build enterprise-grade observability and performance optimization

Industry Impact (12+ Months)

• Establish new patterns for AI-driven creative software architecture
• Contribute to open source and research in multi-agent systems
• Scale platform to support thousands of developers creating games
• Lead technical strategy as the platform evolves toward enterprise studios

Benefits

Base Salarycommensurate with experience

Equity: Significant equity package with high growth potential

Benefits Package:

• Health, dental, vision with company contribution
• Flexible PTO and remote/hybrid work arrangements
• Professional development budget for AI/ML conferences and research
• Hardware stipend for development equipment and cloud resources
• Research time allocated for staying current with AI developments

Unique Perks:

• Conference speaking opportunities as we establish thought leadership
• Open source contribution time for projects aligned with platform goals
• Direct access to cutting-edge AI models and research partnerships
• Creative project support for personal game development experiments