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ClinDCast

AI Engineer

ClinDCast

AI/ML Engineer focusing on Generative AI and LLMs for crafting scalable healthcare solutions. Collaborating with teams to translate business needs into smart AI applications.

Posted 5/5/2026full-timeAlabama, Alaska, Arizona, California, Colorado, Connecticut, Florida, Hawaii, Idaho, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Minnesota, Mississippi, Missouri, Montana, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Design, develop, and deploy scalable AI solutions
  • Build LLM-based solutions for enterprise applications
  • Integrate LLMs with business systems
  • Architect AI agents for intelligent automation
  • Implement CI/CD pipelines for machine learning models
  • Monitor model performance and governance
  • Collaborate with cross-functional teams for solution delivery
  • Create technical documentation and mentoring

Requirements

What you’ll need
  • Expertise in Generative AI and Large Language Models (LLMs)
  • Experience in designing AI solutions
  • Knowledge of modern frameworks and cloud-based MLOps practices
  • Familiarity with Retrieval-Augmented Generation (RAG) pipelines
  • Understanding of prompt engineering and evaluation frameworks
  • Proficiency in frameworks like LangChain or LlamaIndex
  • Ability to integrate AI agents with APIs and enterprise platforms
  • Experience in building MLOps pipelines for AI solutions
  • Strong collaboration and communication skills
  • Experience in mentoring junior team members

Benefits

Comp & perks
  • Flexible work from home options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Generative AILarge Language Models (LLMs)AI solutions designMLOps practicesRetrieval-Augmented Generation (RAG) pipelinesprompt engineeringLangChainLlamaIndexAI agents integrationMLOps pipelines
Soft Skills
collaborationcommunicationmentoring