AI / LLM Systems Engineer (Gamedev)

TL;DR

AI / LLM Systems Engineer (Gamedev): Building a modular AI "brain" ecosystem for NPC intelligence and real-time perception systems with an accent on LLM-based reasoning and agent behaviors. Focus on implementing memory, context management, and world-state representation systems to ensure reliability and consistency of AI outputs.

Location: Hybrid – Los Angeles Area (Beverly Hills/Culver City). Must be legally authorized to work in the United States; no visa sponsorship provided.

Salary: $110,000 – $150,000 Annually

Company

hirify.global is a global developer and publisher of digital entertainment focused on pushing the boundaries of gameplay experience since 2009.

What you will do

• Design and implement AI systems leveraging LLMs for reasoning, decision-making, and agent behaviors.
• Develop training, evaluation, and feedback workflows for AI agents and LLM-powered systems.
• Build tools and processes for testing, benchmarking, and monitoring AI performance.
• Implement memory, context management, and world-state representation within AI architectures.
• Develop validation and safety mechanisms to improve the consistency of AI outputs.
• Collaborate with senior engineers to integrate AI capabilities into real-time interactive environments.

Requirements

• 2–5 years of professional software engineering, machine learning, or AI development experience.
• Experience with LLMs via APIs, open-source models, fine-tuning, prompt engineering, RAG, or agent frameworks.
• Strong programming skills in Python.
• Familiarity with machine learning concepts, model evaluation, and AI development workflows.
• Experience deploying software systems in production environments.
• Legal authorization to work in the US is required; no visa sponsorship (H-1B, etc.) is available.

Nice to have

• Experience with agent frameworks like LangChain, LangGraph, CrewAI, or AutoGen.
• Exposure to reinforcement learning, simulation environments, or agent training.
• Experience with vector databases, retrieval systems, and embedding models.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Knowledge of C++, C#, Unreal Engine, or Unity.

Culture & Benefits

• High-autonomy environment with significant technical ownership.
• Strong emphasis on work/life balance.
• Comprehensive insurance: medical, dental, vision, and Life/LTD.
• 401k plan with company match.
• Paid company holidays, vacation, and separate sick leave.