Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI): Building and optimizing high-quality developer-facing products and APIs for LLM and Agentic application development with an accent on API design, ML service deployment, and developer ergonomics. Focus on driving the full development lifecycle from ideation to deployment, and continuously optimizing existing implementations for performance, scalability, and developer usability.

Location: Must be based in San Francisco, California

Company

hirify.global transforms technology complexity into business opportunity as a leader in enterprise orchestration with its AI-powered platform.

What you will do

• Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development.
• Collaborate closely with product managers, designers, developer relations, and other engineers to translate developer needs into technical solutions.
• Write clean, maintainable, and well-tested code, contributing to high engineering standards.
• Implement and improve validation, monitoring, and observability for ML services within the sandbox environment.
• Drive the full development lifecycle, from ideation and architecture to deployment and continuous improvement.
• Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.
• 10+ years of professional software development experience with a proven track record of shipping high-quality products.
• Proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript with hands-on experience with LLM models.
• Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms.
• Excellent written and verbal communication skills in English.

Nice to have

• Proven track record of deploying and maintaining ML services in production environments.
• LLMops/MLops experience, especially in developer-facing products.
• Experience building or supporting developer platforms, APIs, or sandbox environments.

Culture & Benefits

• Flexible, trust-oriented culture that empowers full ownership of roles.
• Driven by innovation and seeking collaborative team players.
• Emphasis on balancing productivity with self-care.
• Vibrant and dynamic work environment.
• Recognized as a top company for remote workers by Quartz.