ob Title: Fullstack Software Engineer/Generalist Software Engineer (AI / Agentic Systems)
Location: On-site at San Francisco, CA
Duration: Full-time
About the Role
We are seeking a highly capable Generalist Software Engineer to join our lean, fast-moving team at the forefront of Artificial Intelligence. This role is ideal for engineers who enjoy solving complex, ambiguous problems using first-principles thinking and are excited about building foundational systems that push the boundaries of agentic AI.
You will play a critical role in developing our "World Engine"-a sophisticated, interconnected digital environment that enables AI agents to learn, reason, and interact within simulated worlds. Your work will directly influence the next generation of AI-powered products and autonomous systems.
Key Responsibilities
- Design, build, and scale user-facing products and platform capabilities from concept to production.
- Develop and maintain highly performant applications using TypeScript, React, and Python.
- Build infrastructure and tooling that support AI agents, simulation environments, and intelligent workflows.
- Collaborate closely with researchers, engineers, and product stakeholders to solve novel technical challenges.
- Architect scalable backend services, APIs, and data systems to support AI-driven applications.
- Experiment with and integrate Large Language Models (LLMs), agent frameworks, and reinforcement learning concepts.
- Drive technical decisions and contribute to overall product and engineering strategy.
- Take ownership of projects throughout the entire software development lifecycle.
- Continuously improve system reliability, performance, and developer productivity.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
- 5+ years of professional software engineering experience.
- Strong engineering fundamentals with hands-on experience in:
- Proven track record of shipping user-facing products and features end-to-end.
- Experience designing scalable software systems and distributed applications.
- Strong problem-solving skills and ability to apply first-principles thinking to complex challenges.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience building AI, LLM-powered, or agentic applications.
- Familiarity with reinforcement learning concepts and AI training environments.
- Experience with vector databases, RAG architectures, tool-calling frameworks, or AI agents.
- Previous experience at a high-growth VC-backed startup or leading technology company (FAANG or equivalent).
- Demonstrated career progression through promotions, increased ownership, or technical leadership responsibilities.
- Contributions to open-source projects, AI research, or personal technical projects.
What We're Looking For
- Builders who thrive in ambiguity and enjoy tackling hard technical problems.
- Engineers with a strong sense of ownership and accountability.
- Individuals passionate about AI, autonomous systems, and emerging technologies.
- Self-starters who move quickly and execute effectively in fast-paced startup environments.
- Curious learners who actively explore new technologies through side projects and experimentation.
Nice to Have
- Experience with agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or similar.
- Exposure to reinforcement learning, RLHF, or simulation-based environments.
- Startup founding experience or early-stage company experience.
- Active GitHub portfolio demonstrating AI-related projects.