Agent Systems Engineer (AI)

TL;DR

Agent Systems Engineer (AI): Designing and implementing agent behavior systems within simulated or virtual environments with an accent on agent behavior, learning systems, and simulation infrastructure. Focus on evolving training, evaluation, and experimentation pipelines for adaptive agents and collaborating with a small team to shape technical direction.

Location: Hybrid – California (Los Angeles or San Francisco)

Salary: $80,000 – $125,000 Annually

Company

Egofold is an advanced technology initiative under Snail Games USA operating with a high degree of discretion, focusing on foundational problems that require original thinking.

What you will do

• 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.

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.

Culture & Benefits

• 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.