Full-Stack Software Engineer - Platform / Applied AI (San Francisco)

Location: San Francisco, CA (In-Person)

Compensation: $180K-$220K Base + Equity + Benefits

Stack: Python, Next.js, full-stack development, distributed systems, AI infrastructure, data pipelines, cloud platforms, Redis, search systems, and high-throughput processing architectures.

TLDR

• Our client is building critical infrastructure and data systems that support the development and evaluation of next-generation AI models, operating at the intersection of data, experimentation, and frontier AI research.
• The company has achieved exceptional early growth and works closely with organizations building some of the most advanced AI systems in the world.
• This is a founding-level engineering opportunity with significant ownership, where engineers build products, infrastructure, and workflows that directly impact company growth and customer outcomes.
• Engineers own projects end-to-end across product development, data infrastructure, AI workflows, and platform systems, providing immediate visibility into the impact of their work.
• The role combines full-stack engineering, data-intensive systems, and AI-adjacent infrastructure, making it ideal for candidates who enjoy broad ownership and fast execution in high-growth environments.

Requirements

• Strong full-stack engineering experience with Python and modern JavaScript frameworks such as Next.js, React, or similar technologies.
• Experience building and operating production systems, with ownership spanning architecture, implementation, deployment, and iteration.
• Experience designing scalable backend services, data processing systems, or high-throughput application infrastructure.
• Familiarity with cloud platforms, serverless architectures, and distributed systems supporting real-world production workloads.
• Proven ability to operate independently in fast-moving startup environments and drive projects from idea to production.

Bonus Skills

• Experience with AI infrastructure, model evaluation systems, human-in-the-loop workflows, or machine learning platforms.
• Experience designing large-scale data pipelines, workflow orchestration systems, or distributed processing architectures.
• Familiarity with Redis, search technologies, caching systems, messaging platforms, or performance optimization.
• Founder experience, startup experience, or a demonstrated history of shipping products with high ownership and autonomy.
• Strong product instincts and the ability to balance technical excellence with business impact.

Responsibilities

• Design and develop full-stack systems that support large-scale data collection, processing, and AI-related workflows.
• Build scalable infrastructure and backend services capable of supporting growing platform demands and high-throughput workloads.
• Own projects end-to-end, from initial design and architecture through deployment, iteration, and long-term maintenance.
• Partner closely with founders to influence product strategy, technical direction, and platform evolution.
• Establish engineering best practices that improve system quality, developer productivity, and organizational scalability.
• Contribute to the long-term architecture of the platform while helping expand future engineering capabilities.

About

• Our client is building infrastructure and workflows that help power the development, evaluation, and improvement of advanced AI systems, operating at the forefront of data-driven AI innovation.
• Engineers play a highly visible role within the organization, owning critical systems and helping define both the technical direction and future engineering culture of the company.
• This is a hands-on role with significant autonomy, combining product engineering, platform development, and data-intensive systems work in a fast-growing environment.
• The role provides exposure to AI infrastructure, distributed systems, large-scale data workflows, and the operational challenges associated with building products that support frontier AI development.