Lead AI / LLM Systems Engineer Job at Snail Games (Culver City)

Job Description

We are seeking a senior AI engineer to lead the development of Egofold’s foundational AI systems. This role is responsible for building and structuring a reusable, trainable LLM-based “brain” that can operate across multiple environments and contexts. The focus is on core system design and execution: how the AI reasons, learns, adapts, and integrates training workflows over time. This is a hands-on role for someone comfortable making technical decisions under ambiguity and operating without fully defined requirements.

Job Responsibility

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
Determine how learned behavior, structured logic, and rule-based systems interact within a unified hybrid system
Collaborate with engine engineers to integrate AI systems into real-time interactive environments
Make system-level technical decisions that prioritize long-term reuse, scalability, and cross-domain adaptability

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
Comfort operating in early-stage, ambiguous environments and taking ownership of foundational systems

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

What we offer

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

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Lead AI / LLM Systems Engineer

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