Software Engineer - AI Infrastructure & Impact

Riley AI, Inc.; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Healthcare coverage

Equity ownership

Wellness budget

Job summary

Riley AI is building an enterprise data-to-AI context layer to empower smarter decisions. We’re a fast-moving startup with a high-ownership culture, seeking a Software Engineer who loves building product-focused engineering that customers actually use.

You’ll own infrastructure powering enterprise AI, APIs, data pipelines, and frontend experiences across the stack. You’ll work closely with customers and the product team, translate needs into pragmatic solutions, and ship features with a bias

Qualifications

• Strong software engineering fundamentals and production-ready coding practices.
• Proficiency with Python and TypeScript as core languages.
• Experience with APIs, databases, distributed systems, or data-intensive apps.
• Familiarity with cloud infrastructure and modern development workflows.
• Experience in early-stage startups or small, high-performing teams is a plus.

Responsibilities

• Design, develop, and ship features that solve real customer problems.
• Own features from concept through deployment and iteration.
• Collaborate with customers, founders, and product to translate needs into solutions.
• Improve usability, performance, reliability, and scalability of the platform.
• Identify bottlenecks and balance speed with maintainability.

Skills

Python

TypeScript

APIs

Distributed systems

Cloud infrastructure

Job description

Riley AI is building an enterprise data-to-AI context layer to empower smarter decisions. We’re a fast-moving startup with a high-ownership culture, seeking a Software Engineer who loves building product-focused engineering that customers actually use.

You’ll own infrastructure powering enterprise AI, APIs, data pipelines, and frontend experiences across the stack. You’ll work closely with customers and the product team, translate needs into pragmatic solutions, and ship features with a bias