Remote Full-Stack Engineer — AI/ML & Healthcare Impact

AgileEngine; Tallahassee (FL); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Remote work

Mentorship

Competitive pay

Flexible hours

Meaningful projects

Collaborative culture

Well-being programs

Job summary

AgileEngine is seeking a Full Stack Engineer to build and maintain features across a production healthcare platform. You will work with React, Next.js, TypeScript, Node.js, PostgreSQL, and RPC-based services in an Agile environment.

This US-based, remote-friendly contract-to-hire role offers the chance to contribute to AI-focused codebases while collaborating with product, QA, and design teams on regulated data projects.

Qualifications

• 4+ years of professional full-stack software engineering experience.
• Experience with AI/ML-adjacent codebases.
• Experience handling sensitive or regulated data is preferred.
• Strong ownership and focus on software quality.
• Proficient with GitHub, Slack, and JIRA.
• Upper-intermediate English proficiency.

Responsibilities

• Build and maintain full-stack features across the frontend using React, Next.js, and TypeScript.
• Develop backend services using Node.js, PostgreSQL, and RPC-based architectures.
• Contribute to AI and LLM-adjacent codebases.
• Work with systems that handle sensitive and regulated healthcare data.
• Collaborate closely with product, QA, and design teams in an Agile environment.

Skills

Full-stack development

Frontend or backend

AI/ML adjacent codebases

Regulated data handling

Ownership mindset

Remote collaboration tools

Strong communication

Attention to detail

English proficiency

Tools

GitHub

Slack

JIRA

Job description

AgileEngine is seeking a Full Stack Engineer to build and maintain features across a production healthcare platform. You will work with React, Next.js, TypeScript, Node.js, PostgreSQL, and RPC-based services in an Agile environment.

This US-based, remote-friendly contract-to-hire role offers the chance to contribute to AI-focused codebases while collaborating with product, QA, and design teams on regulated data projects.