Agent Systems Engineer – Hybrid San Francisco

About Egofold

Egofold is an advanced technology initiative under Snail Games USA operating with a high degree of discretion. The team works in a startup-like environment exploring new approaches to adaptive systems simulation and intelligent behavior. We focus on foundational problems that require original thinking rather than incremental iteration on established patterns.

About the Role

We are seeking an Agent Systems Engineer who can operate with a high degree of autonomy in an early-stage fast-moving environment. This role is suitable for a recent graduate or early-career engineer with strong AI fundamentals who is capable of taking ownership of meaningful systems and helping shape technical direction. You will work on agent behavior learning systems and simulation infrastructure and may be asked to drive initiatives end-to-end rather than executing narrowly defined tasks.

Job Type: Full-Time
Location: Hybrid California (Los Angeles or San Francisco)

Responsibilities

• Design implement and iterate on agent behavior systems within simulated or virtual environments.

• Build and evolve training evaluation and experimentation pipelines for adaptive agents.

• Explore and compare different approaches to decision-making learning and control.

• Take ownership of technical problems where solutions are not predefined.

• Collaborate closely with a small senior team to shape architecture and technical direction.

• Support internal reviews and external demonstrations through clear validation of agent behavior and progress.

Minimum Requirements

• Strong academic or practical background in artificial intelligence machine learning or related fields.

• Demonstrated familiarity with AI concepts such as reinforcement learning agent-based systems or learning-driven decision-making.

• Strong programming skills in one or more relevant languages (e.g. Python C).

• Ability to reason about complex systems state feedback loops and emergent behavior.

• Comfort working in ambiguous startup-like environments with evolving goals and constraints.

• Clear communication skills and willingness to challenge assumptions.

Nice to Have

• Hands-on experience with reinforcement learning frameworks or simulation environments.

• Background in game AI robotics or embodied AI research.

• Experience building prototypes research projects or experimental systems independently.

• Familiarity with game engines or custom simulation tooling.

Salary Range

$80000 $125000 Annually

Why Join the Egofold Team

• Opportunity to be a driving force on foundational systems at an early stage

• Startup-like ownership with real technical impact

• Exposure to applied AI problems beyond narrow academic exercises

• True focus on work/life balance

• Paid company holidays vacation and separate sick leave

• Medical dental vision and Life/LTD

• 401k with company match