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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Digital Intelligence Systems, LLC - **Location:** Dallas, TX, United States (Remote available) - **Experience:** Experienced - **Contract:** Temporary to permanent - **Skills:** LangGraph Framework, Artificial Intelligence, Business Analytics Applications, Data Analysis, Continuous Integration, Data Systems, Python (Programming Language), Machine Learning, NoSQL, Power BI, Tensorflow, SQL Databases, Tableau (Software), Pinecone, Feature Engineering, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Model Validation, Electronic Medical Records, Generative AI, Agentic-AI, Vertex AI Vector Search, Scikit Learn, Kubernetes, Information Technology, Data Analytics, Weaviate, Machine Learning Operations, Google Gemini, Looker Analytics, Microservices - **Published:** October 3, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pou70uycgq ## About the Role * Bachelor's or Master's degree in Computer Science, Data Science, or a related field. * 3+ years of AI/ML development experience, preferably in healthcare. * Experience in data analysis and business analytics, including trend identification, insight generation, and strategy development. * Proficiency in Python, SQL, No-SQL databases, microservices architecture, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Experience building dashboards and visualizations (e.g., Tableau, Looker, Power BI, or similar). * Experience with cloud platforms (GCP) and CI/CD, MLOps tools. * Hands-on experience with LLMs (e.g., Gemini), agentic AI, LangGraph, LangChain, Kubeflow. * Experience implementing RAG systems and working with vector databases. * Strong ability to communicate data and model insights to non-technical stakeholders. ## Description * Design and implement machine learning models for healthcare applications to enhance patient care, optimize clinical workflows, and improve operational efficiency. * Collect, clean, and analyze data to identify trends, insights, and opportunities for both clinical and business decision-making. * Create dashboards, reports, and visualizations to communicate analytics and model outcomes to stakeholders. * Develop data-driven strategies to solve business problems and support organizational decision-making. * Collaborate with clinicians, data scientists, software engineers, IT, and other departments to translate clinical and business needs into AI and data solutions. * Work with structured and unstructured healthcare data, including Electronic Health Records (EHRs), clinical charts, and business/operational datasets. * Ensure models comply with regulatory and ethical standards (e.g., HIPAA, FDA) and maintain interpretability. * Develop and maintain data preprocessing, feature engineering, and model deployment pipelines in cloud or on-prem environments. * Monitor, evaluate, and retrain models and implemented strategies in production to maintain accuracy, fairness, and measurable business impact. * Conduct robust model evaluation and validation using industry best practices. * Stay updated on AI, ML, analytics, and industry research to enhance existing systems and analytical approaches. * Contribute to the development of internal tools, frameworks, dashboards, and reporting systems to accelerate AI and analytics development. * Design, build, and deploy scalable machine learning models for classification, regression, recommendation, and NLP. * Implement Retrieval-Augmented Generation (RAG) solutions and integrate GenAI systems with vector databases (e.g., Vertex AI Search, Pinecone, Weaviate). * Utilize LLMs (e.g., Gemini or equivalents) for training, deploying, fine-tuning, and building agentic AI workflows with LangGraph, LangChain, and Kubeflow. * Monitor and evaluate the impact of implemented data and AI strategies on clinical and business outcomes. ## Related Videos - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Vision for Websites: Training Your Frontend to See](https://www.wearedevelopers.com/videos/1213-vision-for-websites-training-your-frontend-to-see) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [AI Agents Graph: Your following tool in your Java AI journey](https://www.wearedevelopers.com/videos/1550-ai-agents-graph-your-following-tool-in-your-java-ai-journey) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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