AI / LLM Systems Engineer – Egofold (Junior to Mid-Level) at Snail Games USA

Beverly Hills, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

150000.0

Posted On

04 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Large Language Models, Prompt Engineering, RAG Systems, Agent Frameworks, Machine Learning, Fine-tuning, Vector Databases, Model Evaluation, Software Engineering, C++, C#, Unreal Engine, Unity, AWS, Azure

Industry

Entertainment Providers

Description

AI / LLM Systems Engineer – Egofold (Junior to Mid-Level) Location: Culver City, CA Compensation: $110,000 – $150,000 Annually About Snail Games USA Snail Games strives to create the new high bar for gameplay experience in online gaming. We have been a global developer and publisher of digital entertainment since 2009 and are committed to pushing the boundaries of the industry. About Egofold Egofold is an AI initiative within Snail Games focused on building a modular AI "brain" ecosystem for NPC intelligence, real-time perception systems, and simulation tooling across multiple game projects. About the Role We are seeking a Junior to Mid-Level AI / LLM Systems Engineer to help build and expand Egofold's foundational AI systems. This role will contribute to the development of reusable, trainable LLM-based systems that support intelligent agents operating across multiple environments and use cases. You will work closely with senior engineers and technical leadership to implement AI architectures, develop training and evaluation workflows, and integrate AI capabilities into real-time applications. This is an excellent opportunity for someone who has hands-on experience with modern AI technologies and wants to grow their expertise while contributing to a long-term AI platform vision. Job Type Full-Time Location Hybrid – Los Angeles Area (3–4 in-office days per week) Responsibilities Assist in designing and implementing AI systems that leverage large language models for reasoning, decision-making, and agent behaviors. Support the development of training, evaluation, and feedback workflows for AI agents and LLM-powered systems. Build tools and processes for testing, benchmarking, and monitoring AI performance. Help implement memory, context management, and world-state representation systems within AI architectures. Develop validation and safety mechanisms to improve reliability and consistency of AI outputs. Collaborate with senior engineers to integrate AI systems into real-time applications and interactive environments. Contribute to experimentation and prototyping efforts involving agent frameworks, retrieval systems, and AI workflows. Participate in technical discussions, code reviews, and architecture planning activities. Document systems, workflows, and technical decisions to support team collaboration and future development. Minimum Requirements 2–5 years of professional software engineering, machine learning, or AI development experience. Experience working with large language models through APIs, open-source models, fine-tuning, prompt engineering, RAG systems, or agent frameworks. Strong programming skills in Python. Familiarity with machine learning concepts, model evaluation, and AI development workflows. Experience building, integrating, or deploying software systems in production environments. Understanding of software engineering best practices including testing, version control, and documentation. Strong analytical and problem-solving skills. Ability to learn quickly and thrive in a fast-paced, startup-like environment. Nice to Have Experience with agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies. Exposure to reinforcement learning, simulation environments, or agent training methodologies. Experience with vector databases, retrieval systems, and embedding models. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience integrating AI systems into games, simulations, or interactive applications. Knowledge of C++, C#, Unreal Engine, or Unity. Contributions to open-source AI or machine learning projects. Salary Range $110,000 – $150,000 annually Why Join the Snail Games USA Team? 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 Work Authorization Requirements Applicants must be legally authorized to work in the United States at the time of application. This position does not offer visa sponsorship now or in the future (including H-1B). Additional Information As part of the Company’s activities in video game development, publishing, and short-form video content creation, certain projects, discussions, or creative materials may include themes, visuals, language, or subject matter that some individuals could find mature, violent, sexual, graphic, or otherwise sensitive in nature (collectively referred to as “Mature Content”). Examples may include, but are not limited to, depictions or descriptions of combat, violence, adult themes or relationships, suggestive or satirical humor, or strong language. Employees are expected to engage with such material in a professional and creative context as part of their job duties.

Responsibilities

Design and implement AI systems leveraging LLMs for reasoning, decision-making, and agent behaviors within a modular AI ecosystem. Develop training, evaluation, and monitoring workflows to integrate AI capabilities into real-time interactive applications.