AI Application Engineer

Role Description

medxprts.ai is building an AI-powered platform for the legal and healthcare space, using LLMs, agentic workflows, and automation to create production-grade applications. We are looking for a hands-on AI Application Engineer who can help build, improve, and operate AI-driven products end to end. This role is ideal for someone who is AI-native, comfortable moving fast with tools like Claude Code and Cursor, and able to work closely with engineering teams to ship real features into production.

• Build and maintain AI-powered applications, workflows, and automations.
• Work with LLMs, AI agents, RAG pipelines, and agentic frameworks.
• Develop full-stack features, including backend services, APIs, and frontend interfaces.
• Use AI-assisted development tools such as Claude Code and Cursor to prototype and ship quickly.
• Support production systems by troubleshooting issues, improving reliability, and contributing to operational workflows.
• Collaborate with the CTO and engineering team across different time zones.
• Participate in PRs, releases, technical discussions, and continuous product improvements.
• Help improve the AI pipeline, including document processing, quality control, and automation logic.

Qualifications

• Hands-on software engineering experience, ideally with Python and modern web applications.
• Strong familiarity with AI-assisted development tools such as Claude Code, Cursor, or similar.
• Experience building or integrating LLM-based applications, AI agents, automations, or RAG systems.
• Understanding of production software workflows: Git, PRs, debugging, deployment, and maintainable code.
• Familiarity with cloud environments, especially AWS; GCP experience is a plus.
• Experience with APIs, databases, and backend/frontend development.
• Ability to work independently, learn quickly, and follow technical direction.
• Availability to overlap with U.S. working hours.
• Good communication skills and a hands-on, execution-oriented mindset.

Requirements

• Experience with n8n or similar workflow automation tools.
• Experience with MCP, vector databases, or advanced RAG pipelines.
• Knowledge of Docker, CI/CD, Kubernetes/EKS, or serverless infrastructure.
• Experience in healthcare, legaltech, HIPAA, or other regulated/data-sensitive environments.
• Portfolio, GitHub, or examples of shipped AI/agentic applications.

Benefits

• Fully remote role.
• Opportunity to work on real AI products in the legal and healthcare domain.
• High ownership and autonomy.
• Performance-based incentives and outcome-driven bonuses.
• Potential to grow into a long-term, full-time role as the platform scales.