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Lead AI - LLM Systems Engineer job at Snail Games USA in Los Angeles, CA

Summary by AIEngineer.careers

Lead AI - LLM Systems Engineer job at Snail Games USA in Los Angeles, CA is a LLM Engineer role (full-time). with WFH Beacon. in LOS ANGELES, US. Compensation shown: $150K–$200K. Imported listing (source: wfhbeacon.up.railway.app). Apply on the employer's site (wfhbeacon.up.railway.app).

Imported listing (source: wfhbeacon.up.railway.app) · Apply on wfhbeacon.up.railway.app

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LOS ANGELES · US
$150K–$200K
Full-time
SENIOR
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from wfhbeacon.up.railway.app

Egofold, an AI initiative within Snail Games USA, is seeking a senior AI engineer to lead development of a modular, trainable LLM-based 'brain' ecosystem for NPC intelligence, real-time perception, and simulation tooling across game projects. This hands-on role focuses on core system design, training workflows, evaluation, and integration into real-time interactive environments.

Responsibilities

  • Design and implement foundational AI systems using LLMs as a core reasoning component
  • Architect simulation-based learning and training workflows including fine-tuning, reinforcement learning, evaluation, and feedback loops
  • Build validation, safety, and constraint layers around generative outputs
  • Define evaluation frameworks and benchmarking strategies for agent performance and stability
  • Structure context, memory, and world state representation within the AI architecture
  • Collaborate with engine engineers to integrate AI systems into real-time interactive environments
  • Make system-level technical decisions prioritizing reuse, scalability, and adaptability

Requirements

  • Significant professional experience building AI or ML systems beyond simple model or API integration
  • Demonstrated experience with large language models in production or applied research
  • Hands-on experience with agent training methodologies including reinforcement learning or simulation-based learning
  • Strong understanding of training workflows, evaluation strategies, and iterative improvement cycles
  • Strong proficiency in Python and 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 with 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

Benefits

paid holidaysvacationsick leavemedical insurancedental insurancevision insurancelife insurance401k match

Tech Stack

C#C++Fine-tuningLLMPythonReinforcement LearningUnreal Engine
WB

WFH Beacon

Buford · US · 500+ employees

WFH Beacon Group is a privately held, national investigative firm established in 1983 and headquartered in Buford, Georgia. As pioneers of unmanned surveillance technology, WFH Beacon Group's eRemote technology is an industry recognized product. With more than 500 direct employees nationwide, the company helps organizations reduce risk, improve profitability, and increase revenue within the insurance industry.

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