Senior Backend Engineer (AI)

TL;DR

Senior Backend Engineer (AI): Designing, building, and shipping cutting-edge products and features for an AI-native healthcare platform with an accent on quality, scalability, and internal system improvements. Focus on driving development of critical features, owning major parts of the codebase, and transforming interactions with patients, dietitians, and insurance companies.

Location: Remote (US only) or onsite/hybrid in New York, NY.

Company

hirify.global is an AI-native healthcare startup focused on improving people’s health by making it easy to eat well and expanding access to nutrition-related care.

What you will do

• Design, build, and ship cutting-edge products and features.
• Drive continuous improvements in engineering processes, tools, and systems.
• Collaborate with cross-functional teams across product, design, engineering, and analytics to solve challenging problems.
• Contribute to the estimations, planning, and execution of projects, features, and integrations.
• Maintain and elevate existing backend services and infrastructure.
• Write clean, fully-tested, high-performance code.

Requirements

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• 5+ years as a Backend-focused Software Engineer, preferably building high-performance internal platforms.
• 3+ years utilizing Typescript, Node.js, Prisma, PostgreSQL, AWS or confidence to cross-train.
• Ability to independently take projects from idea through implementation and ship fast.
• Passion for being deeply involved in product and design, building end-to-end.
• Ability to think from first principles, challenge assumptions, and value the right answer.

Nice to have

• Startup or Scale Up experience.
• Interviewing experience.
• Energized by hirify.global's mission.

Culture & Benefits

• Very collaborative and close-knit team environment.
• Opportunity to make a significant impact on people’s health.
• Work in an early-stage startup where product, design, and engineering are closely intertwined.
• Emphasis on continuous improvement and data-driven experimentation.