Remote AI Fullstack Dev for Pharma (React, Vue, .NET)

Tech Mirrors; Town of Florida (NY); Remote; USD 90,000 - 130,000; Full time

Job summary

Tech Mirrors is seeking a mid-level AI Fullstack Developer for a remote role. You will contribute across frontend and backend stacks using React/Vue.js with C#, SQL, and JavaScript, and apply AI techniques like RAG and Enterprise AI Agents. Experience with Cursor AI and Claude AI is highly preferred.

The ideal candidate has up to four years of full stack development experience, a strong problem-solving mindset, and a passion for applying data-driven methods to health and life sciences projects.

Qualifications

• Up to 4 years of full stack web app development experience.
• Proficiency in JavaScript-related languages and frameworks.
• Experience with AI tooling and RAG technologies.
• Familiarity with SQL or NoSQL databases.
• Bachelor's degree or equivalent practical experience in a technical field.

Responsibilities

• Take a business problem and frame it as a math problem.
• Utilize advanced quantitative techniques, and brainstorm with domain experts, to find the optimal solution to this problem.
• Write sophisticated and elegant code to implement the solution.
• Collaborate with and communicate your team’s work to clients from leading pharmaceutical companies around the world.
• Contribute to the advancement of healthcare provided to millions of patients.

Skills

React

Vue.js

C#

SQL

JavaScript

Full stack development

AI exposure

Cursor AI

Claude AI

RAG

Enterprise AI Agents

Education

Bachelor's degree in Computer Science / Mathematics / Statistics / Physics or equivalent

Job description

Tech Mirrors is seeking a mid-level AI Fullstack Developer for a remote role. You will contribute across frontend and backend stacks using React/Vue.js with C#, SQL, and JavaScript, and apply AI techniques like RAG and Enterprise AI Agents. Experience with Cursor AI and Claude AI is highly preferred.

The ideal candidate has up to four years of full stack development experience, a strong problem-solving mindset, and a passion for applying data-driven methods to health and life sciences projects.