Senior Software Engineer, Frontend (AI)

TL;DR

Senior Software Engineer, Frontend (AI): Building customer-facing software that enables the company's expanding array of industry-revolutionizing application and machine-learning capabilities with an accent on reusable React components and automated testing. Focus on application performance, data integrity, and deployment automation capabilities.

Location: Hybrid schedule based out of Boston, Massachusetts.

Salary: $100K - $200K • Offers Equity

Company

hirify.global is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT.

What you will do

• Build reusable React components for multiple applications and use cases.
• Write automated tests with Jest and Puppeteer.
• Implement best practices for application performance and data integrity.
• Advance platform’s deployment automation capabilities.
• Enable the platform to support complex interactions with customers’ and partners’ technology.
• Collaborate with software and machine learning teams and other stakeholders.

Requirements

• Bachelor’s degree in Computer Science or related field.
• At least 4 years of experience with JavaScript/TypeScript.
• At least 2 years of experience working with React.js in a cross-functional development team.
• Experience working with internal and external REST APIs.
• Strong communication skills through testable and clean code.
• Knowledge of authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end build pipelines and tools.

Nice to have

• AWS/GCP/Azure experience.
• Understanding of backend development.
• Experience of working in a regulated environment.

Culture & Benefits

• Fast-paced and collaborative work culture to gain experience and grow technical skills.
• Team led by a VP of Engineering who understands what engineers need to thrive.
• Competitive pay, equity, and benefits.
• Agile organization where being senior translates to being a mentor and role model for others.
• Technical challenges on the leading edge of innovation where software and machine learning.