We’re seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This role is vital to expanding our reach with strategic healthcare accounts, especially across provider, payer, and adjacent healthcare sectors. Experience with healthcare enterprise accounts, especially in payer/provider environments, including EHR integrations, claims workflows, and working with PHI securely. Life sciences or medical device experience is a plus. Role Overview You will integrate large language models into healthcare enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the StackAI platform, you’ll partner with clients to co-design solutions for operational and clinical-adjacent workflows. We’re looking for someone with experience in the payer/provider space, including EHR integrations, claims processing, and working with PHI securely. Experience in life sciences or medical devices is a strong plus, especially in workflows such as CAPA, complaints, quality, and regulatory operations. About StackAI Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process. Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models. Our customers use Stack AI to build applications such as: Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs. Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long. Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them. Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed