AI / LLM Systems Engineer – Egofold (Junior to Mid-Level)
About The Position
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. 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.
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.
- 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).
Nice To Haves
- 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.
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.
Benefits
- Paid company holidays, vacation, and separate sick leave
- Medical, dental, vision, and Life/LTD
- 401k with company match
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
