AI Application Engineer (Part-Time)

Client: medxprts.ai Location: Remote Type: Full-time, with potential flexibility to start part-time Schedule: U.S. timezone overlap required 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. Responsibilities 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. Requirements 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. Nice to Have 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. 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.