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
Bachelors 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:
TypeScript
React
Python
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 Were 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.
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 Intellige...
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
Bachelors 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:
TypeScript
React
Python
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 Were 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.