AI Engineer

Job Title: AI Engineer

Location : Dallas, TX

Duration: 12+ Months (Possibility of extension)

Work Mode: Remote

Position Summary

Key Responsibilities:

• 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.

Required Skills:

• 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.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.