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.
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Work with LLMs, AI agents, RAG pipelines, and agentic frameworks.
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Develop full-stack features, including backend services, APIs, and frontend interfaces.
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Use AI-assisted development tools such as Claude Code and Cursor to prototype and ship quickly.
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Support production systems by troubleshooting issues, improving reliability, and contributing to operational workflows.
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Collaborate with the CTO and engineering team across different time zones.
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Participate in PRs, releases, technical discussions, and continuous product improvements.
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Help improve the AI pipeline, including document processing, quality control, and automation logic.
Requirements
Requirements-
Hands-on software engineering experience, ideally with Python and modern web applications.
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Strong familiarity with AI-assisted development tools such as Claude Code, Cursor, or similar.
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Experience building or integrating LLM-based applications, AI agents, automations, or RAG systems.
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Understanding of production software workflows: Git, PRs, debugging, deployment, and maintainable code.
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Familiarity with cloud environments, especially AWS; GCP experience is a plus.
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Experience with APIs, databases, and backend/frontend development.
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Ability to work independently, learn quickly, and follow technical direction.
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Availability to overlap with U.S. working hours.
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Good communication skills and a hands-on, execution-oriented mindset.
Nice to Have-
Experience with n8n or similar workflow automation tools.
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Experience with MCP, vector databases, or advanced RAG pipelines.
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Knowledge of Docker, CI/CD, Kubernetes/EKS, or serverless infrastructure.
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Experience in healthcare, legaltech, HIPAA, or other regulated/data-sensitive environments.
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Portfolio, GitHub, or examples of shipped AI/agentic applications.
Benefits
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Fully remote role.
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Opportunity to work on real AI products in the legal and healthcare domain.
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High ownership and autonomy.
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Performance-based incentives and outcome-driven bonuses.
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Potential to grow into a long-term, full-time role as the platform scales.
