Senior Fullstack Engineer (AI)

Location: Hybrid role based in Arlington, VA, United States

Salary: $160,000–$225,000 per year base salary, plus eligible performance bonuses and stock options.

Company

hirify.global builds advanced AI and optimization software for complex operational environments, combining real-time communications, computer vision, audio intelligence, natural language processing, navigation, geospatial data, optimization, and secure cloud infrastructure.

What you will do

• Build user-facing features in Angular and AngularJS that present live AI outputs clearly and quickly.
• Develop Go backend services and REST APIs using Chi to power cloud-based interfaces.
• Implement authentication, role-based access control, secure session handling, and user management.
• Design customer onboarding workflows and dashboards for time-sensitive operational decisions.
• Integrate frontend experiences with AI/ML and real-time backend services while partnering with AI/ML, backend, and mobile engineers.
• Write automated tests, participate in code reviews and design discussions, and improve performance, accessibility, and reliability across the stack.

Requirements

• 5+ years of professional full-stack engineering experience.
• Strong experience with Angular and/or AngularJS.
• Production experience building backend services, ideally in Go.
• Experience designing REST APIs and data models.
• Experience implementing authentication and access control.
• Experience with cloud-based platforms on AWS, Azure, or GCP.
• Legally authorized to work in the United States.

Nice to have

• Experience with the Chi router and Go microservices.
• Experience building interfaces for AI/ML, video, or real-time data.
• Experience with WebSockets, WebRTC, or streaming UIs.
• Experience with PostgreSQL, Docker, Kubernetes, and CI/CD.
• Experience in defense, government, public safety, or regulated environments.
• Previous or current U.S. government security clearance; clearance is not required.

Culture & Benefits

• Hybrid, full-time work with a flexible work environment.
• Health, dental, and vision coverage for eligible employees.
• Performance bonus opportunities and stock options.
• Significant technical ownership and direct influence over product and architecture decisions.
• Opportunities to work across AI/ML, distributed systems, computer vision, audio, NLP, navigation, optimization, and real-time infrastructure.
• Collaborative engineering environment with direct visibility into company and product strategy.