AI Engineer

AI-driven automation that helps improve workflows across clinical, financial, HR, and administrative teams, while meeting healthcare compliance requirements. In this onsite role in Plano, TX, you will design, develop, and deploy AI agents and LLM-based tools that support patient care and enable secure data exchange across enterprise systems.

What you’ll do

• Design, build, and maintain AI agents and automation workflows in Python to streamline processes across PAM Health departments
• Use modern agent development SDKs and frameworks such as LangChain, Pydantic AI, Google ADK, or the OpenAI Agents SDK to deliver robust, scalable AI applications
• Integrate AI solutions with existing enterprise applications and Electronic Health Record (EHR) systems for secure, efficient data exchange
• Deploy, host, and manage AI models and applications within cloud infrastructure
• Accelerate development timelines and maintain high code quality by leveraging AI coding assistants such as Claude Code, Cursor, or Antigravity
• Ensure all AI tools and automated workflows meet strict healthcare compliance standards, maintaining data privacy, security, and HIPAA compliance when handling Protected Health Information (PHI)
• Partner with non-technical stakeholders to gather requirements, scope automation initiatives, and translate business challenges into actionable solutions
• Monitor, test, and evaluate emerging AI technologies, models, and industry best practices
• Support a workplace culture grounded in cooperation, fairness, equity, respect, and empathy, including mentoring and coaching staff
• Demonstrate accountability and sound judgment with appropriate confidentiality and adherence to company policies, procedures, and safety guidelines
• Use clear, consistent decision-making, communicate effectively, and maintain high-quality performance and customer service
• Maintain up-to-date skills through professional involvement and/or continuing education
• Follow safety and compliance practices, including participating in OSHA-required training and adhering to universal precautions as applicable
• Know own role in case of an emergency

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field, or equivalent practical/professional experience
• Proven software engineering experience (level aligned with Junior to Senior expectations), with a primary focus on Python
• Hands-on experience building, testing, and deploying AI-driven applications, LLMs, or autonomous agents
• Strong proficiency in Python and the broader data and AI ecosystem
• Familiarity with agent development SDKs such as LangChain, Pydantic AI, Google ADK, and OpenAI Agents SDK
• High proficiency with modern AI coding assistants including Claude Code, Cursor, and Antigravity
• Solid understanding of Retrieval-Augmented Generation (RAG) fundamentals (embeddings, vector stores, multi-modal data processing)
• Strong understanding of RESTful API development and third-party system integrations
• Knowledge of data privacy principles, security best practices, and healthcare regulatory requirements (HIPAA)
• Excellent problem-solving skills with the ability to operate as a technical generalist across varied business domains
• Strong communication skills, including the ability to explain complex AI concepts to non-technical stakeholders

Technologies

Python, LangChain, Pydantic AI, Google ADK, OpenAI Agents SDK, Claude Code, Cursor, Antigravity, LLMs, Retrieval-Augmented Generation (RAG), embeddings, vector stores, multi-modal data processing, RESTful API, Electronic Health Record (EHR), HIPAA, Protected Health Information (PHI), Microsoft Azure, Google Cloud Platform (GCP)

Preferred

• Familiarity with the healthcare industry, especially in the post-acute care sector
• Experience integrating with, or extracting data from, EHR systems
• Experience deploying AI and software solutions in secure, HIPAA-compliant environments handling sensitive data
• Experience with cloud computing platforms, specifically Microsoft Azure and/or Google Cloud Platform (GCP)