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Lead AI / LLM Systems Engineer

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Snail Games

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Location:
United States , Culver City

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

150000.00 - 200000.00 USD / Year
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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

Additional Information:

Job Posted:
March 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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