TL;DR

Fullstack Engineer (AI): Building and optimizing an internal developer platform, including web services, UIs, and APIs for AI-powered applications with an accent on streamlining the entire development lifecycle, ensuring reliability and performance. Focus on architecting robust backend services, integrating new AI capabilities, and enhancing developer productivity through tooling and automation.

Location: Remote (USA)

Salary: $160,000–$220,000

Company

%hirify_global% is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) offerings.

What you will do

Design, build, and maintain scalable backend services and APIs for the internal developer platform.
Develop and manage robust data pipelines to support engineering and research workflows.
Build tooling and automation to enhance developer productivity and streamline CI/CD processes.
Collaborate with product and research teams to integrate new AI capabilities into the platform.
Ensure the reliability, performance, and scalability of the platform's backend infrastructure.

Requirements

5+ years of experience in full-stack software development.
Proficiency in front-end (e.g., React, Vue) and back-end (e.g., Python, Go, Node.js) development.
Demonstrated experience building internal developer platforms or similar developer-centric tooling.
Expertise in leveraging AI APIs or building applications on top of large language models.
Experience with containerization (Docker) and orchestration platforms (Kubernetes).
A strong understanding of CI/CD principles and building automated pipelines.

Nice to have

Experience with Infrastructure-as-Code (e.g., Terraform, Pulumi).
Knowledge of cost optimization strategies for cloud infrastructure.
Experience contributing to open-source developer tools.

Culture & Benefits

Comprehensive medical, dental, and vision benefits, plus mental health support.
Unlimited PTO, generous paid parental leave, and a flexible schedule.
401(k) plan with company match and tax savings programs.
Annual wellness, personal productivity, and learning/education stipends.
Focus on an AI-first mindset, continuous learning, and experimentation.