Software Engineer (SWE)

Recruiting From Scratch • San Francisco, CA

7d • Onsite

About The Position

Our client is a fast-growing, venture-backed AI infrastructure company building the systems that power the next generation of large language models and AI agents. Their platform enables frontier AI research through scalable data infrastructure, evaluation systems, and human-in-the-loop workflows used by leading AI companies and high-growth startups. With exceptional growth, significant funding, and a team comprised of engineers and operators from top technology, quantitative trading, and finance firms, this is an opportunity to help shape the infrastructure behind the future of AI.

Requirements

• 1–4 years of experience as a Software Engineer or Full-Stack Engineer
• Strong proficiency in TypeScript/JavaScript with experience building production applications
• Experience developing modern web applications using React, Next.js, Node.js, or similar technologies
• Strong software engineering fundamentals and experience building scalable systems
• Comfortable working across frontend, backend, infrastructure, and cloud environments
• Demonstrated ownership of projects from design through production
• Excellent communication and collaboration skills

Nice To Haves

• Experience with Python, Kubernetes, Kafka, Redis, Elasticsearch, AWS, or GCP
• Startup experience or experience shipping products in fast-paced environments
• Interest in AI infrastructure, LLMs, distributed systems, or developer platforms
• Experience building internal tools, APIs, or data platforms
• Strong product mindset with a bias toward execution

Responsibilities

• Design, build, and maintain scalable full-stack applications supporting AI evaluation and experimentation
• Develop distributed systems, APIs, and human-in-the-loop platforms used for frontier AI development
• Build reliable backend services and modern frontend applications using TypeScript, React, Next.js, and Node.js
• Develop infrastructure for large-scale distributed experiments using Kubernetes, Kafka, and cloud platforms
• Collaborate closely with research, product, and design teams to rapidly prototype and launch new capabilities
• Solve challenging scalability, reliability, and performance problems across the platform
• Participate in technical design discussions, architecture reviews, and code reviews
• Take ownership of projects from ideation through deployment and ongoing iteration

Benefits

• Competitive base salary of $180,000 – $220,000
• On-target earnings of $350,000 – $600,000+
• Uncapped performance bonus with substantial upside
• Competitive equity package
• Sign-on bonus available for exceptional candidates
• Visa transfer support available
• Opportunity to work alongside experienced engineers from leading technology and quantitative firms
• High ownership, rapid career growth, and exposure to cutting-edge AI technologies

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed