Lead AI / LLM Systems Engineer (Gamedev)

TL;DR

Lead AI / LLM Systems Engineer (Gamedev): Developing foundational AI systems using large language models for NPC intelligence, real-time perception, and simulation tooling across multiple game projects with an accent on core system design, reasoning, and integration of training workflows. Focus on building a reusable, trainable LLM-based "brain" that adapts across different environments and contexts.

Location: Hybrid – Los Angeles Area (3–4 in-office days per week)

Salary: $150,000 – $200,000 Annually

Company

Snail Games strives to create the new high bar for gameplay experience in online gaming.

What you will do

• Design and implement foundational AI systems using large language models as a core reasoning component.
• Architect simulation-based learning systems and training workflows, including fine-tuning, reinforcement learning, evaluation, and feedback loops.
• Build validation, safety, and constraint layers around generative outputs to ensure predictable and controllable behavior.
• Define evaluation frameworks and benchmarking strategies to measure agent performance, stability, and learning progression over time.
• Structure how context, memory, and world state are represented and consumed within the AI architecture.
• Collaborate with engine engineers to integrate AI systems into real-time interactive environments.

Requirements

• Significant professional experience building AI or ML systems beyond simple model or API integration.
• Demonstrated experience working with large language models in a production or applied research context.
• Hands-on experience with agent training methodologies, including reinforcement learning or simulation-based learning systems.
• Strong understanding of training workflows, evaluation strategies, and iterative improvement cycles.
• Strong proficiency in Python and experience integrating AI systems into production environments.
• Ability to reason about complex, stateful systems and learning behavior over time.

Nice to have

• Experience designing context-aware or agent-based AI systems.
• Background in behavioral AI, simulation, or decision-making systems.
• Familiarity with reinforcement learning, fine-tuning strategies, or hybrid AI architectures.
• Experience integrating AI systems into real-time or interactive environments.
• Familiarity with C++, C#, or Unreal Engine integration workflows.

Culture & Benefits

• Operate in a small, high-autonomy team with significant technical ownership and long-term influence.
• True focus on work/life balance
• Paid company holidays, vacation, and separate sick leave
• Medical, dental, vision, and Life/LTD
• 401k with company match