Spring 2026 Internship

About the Role

• This is a Spring 2026 Internship opportunity at Medlaunch Concepts.
• The goal is for interns and contractors to transition into full-time employees.
• Interns will be given full-time responsibilities from day one.
• The role involves working in a high-velocity growth startup environment.
• The focus is on AI-native builders, not traditional manual testers.
• Interns will leverage agentic coding tools (Claude Code, Codex), Model Context Protocols (MCPs), and Playwright to build, maintain, and scale a high-speed QA and regression architecture.
• You will work directly with the engineering team on a production healthcare platform.
• Compensation: The base internship position is unpaid. Candidates with needed experience who can hit the ground running may be hired on a paid contract basis. Qualified candidates may receive upfront equity compensation. Both tracks carry a strong possibility for full-time conversion based on performance.

Key Responsibilities

• Own critical parts of the automated quality infrastructure.
• Specialize in one or more of the following areas:

AI-Native Test Automation & Regression Engineering

• Build, execute, and scale end-to-end automated test suites using Playwright.
• Maintain and evolve the QA repository test harness, proactively updating selectors, page objects, and test flows as the React frontend changes.
• Operate and monitor automated regression systems, using AI-assisted debugging and scripting (via Claude Code, Codex) for stuck runs or novel edge cases.
• Build and integrate Model Context Protocol (MCP) workflows for AI agents to inspect application state and autonomously generate or repair test scripts.

Application Testing & Quality Assurance

• Design and execute comprehensive, high-leverage test plans for the healthcare portal, APIs, and integrations.
• Identify and document complex bugs, usability bottlenecks, and edge cases.
• Rigorously test healthcare compliance features (HIPAA, document security, role-based access, and audit trails).
• Create performance and load-testing scenarios for document upload and processing workflows.

AI/ML Quality Support

• Collaborate on testing document processing and extraction accuracy.
• Help validate machine learning models for healthcare document extraction and alignment.
• Design test datasets for training, benchmarking, and validating AI systems.
• Analyze and report on AI/ML model performance and data quality.

Data Quality Assurance

• Develop automated data quality monitoring and validation processes across databases.
• Build automated checks for data integrity and consistency across data pipelines.
• Create dashboards and alerts for data quality and regression metrics.

Process Improvement & Agentic Strategy

• Analyze current QA bottlenecks and replace manual workflows with AI-accelerated pipelines.
• Research and recommend new agentic testing tools, MCP integrations, and automation methodologies.
• Participate in technical decision-making, sprint planning, and maintaining the QA knowledge base.

Requirements & Tech Stack

• AI-Native Workflow: Hands-on proficiency using AI coding agents (Claude Code, OpenAI Codex, etc.) to write, refactor, and debug test scripts at high velocity.
• Strong understanding of software testing principles, DOM manipulation, and asynchronous web behavior.
• Experience with JavaScript/TypeScript or Python.
• Ability to read React frontend code to fix and update the QA harness.
• Basic knowledge of databases and API testing.
• High agency and problem-solving skills.
• Testing & Automation: Playwright (primary), API testing tools, CI/CD regression runners.
• Frontend & Scripting: React (reading/understanding UI changes), TypeScript/JavaScript, Python.
• Version Control: Git, GitHub.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field (or equivalent demonstrated builder experience).
• Preferred Qualifications:
• Direct experience building and maintaining Playwright test suites and test harnesses.
• Familiarity with Model Context Protocol (MCP) and connecting AI agents to testing workflows.
• Knowledge of healthcare IT, compliance requirements, or regulated industries.
• Familiarity with CI/CD pipelines and automated regression environments.
• Previous internship, contract, or project experience in QA automation or software engineering.

What You'll Gain

Professional Development

• Real Impact: Work directly protects and accelerates a production healthcare platform.
• Mentorship: Work closely with senior engineers and receive structured feedback.
• Healthcare Domain Knowledge: Learn about healthcare compliance, accreditation, and regulatory requirements.
• Enterprise Technology: Gain experience with production-grade systems, security, and scalability.

Technical Skills

• Cutting-edge AI-augmented engineering and agentic QA workflows (Playwright, MCPs, Claude Code/Codex).
• Maintaining resilient test harnesses against rapidly evolving React frontends.
• AI/ML model testing and validation techniques.
• Modern CI/CD and automated regression practices.

Career Opportunities

• Flexible Entry Tracks: Start as an intern or, for those with proven experience, jump right in on a paid contract basis.
• Immediate Value: Potential upfront equity compensation based on qualifications.
• Full-Time Path: Both internship and contract tracks are designed with the goal of full-time conversion based on performance.
• Network with healthcare technology professionals and build a portfolio of real-world, AI-native projects.