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AI/ML Engineer
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Ledgent Technology
Davis, CA (In Person)
Full-Time
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Job Description
We are seeking a resourceful and technically curious Software Engineer to help build and improve intelligent healthcare software systems. This role is ideal for someone who enjoys solving complex problems, learning new technologies quickly, and contributing to systems that require thoughtful design, strong engineering judgment, and a practical understanding of processing unstructured data. We are looking for a developer who can think from first principles, communicate clearly with other engineers, and recognize both the capabilities and limitations of modern AI systems. What You'll Do In this role, you'll work with Large Language Models (LLMs) and machine learning principles to: Process unstructured medical data and answer complex medical questions using Retrieval-Augmented Generation (RAG) and related techniques. Design and build AI-powered tools to streamline the creation, customization, and validation of medical forms. Design systems that convert user-generated queries into reports within our existing software platform. Make thoughtful design decisions, learn new technologies, and help advance Cedaron's machine learning capabilities. What We're Looking For The ideal candidate has demonstrated voluntary initiative in a workplace environment before. The candidate would be able to take ownership of a concept and architect and build the AI solution from the ground up. We're generally looking for someone with several years of professional software engineering experience and meaningful hands-on experience building with LLMs, RAG systems, or related AI tooling. From a technical standpoint, we are looking for someone who has experience with or strong familiarity in: Practical knowledge of RAG systems, including hands-on experience with ChromaDB, Pinecone, Azure AI Search, or similar vector databases, with the ability to build production-grade retrieval pipelines for unstructured data. Strong experience working with Large Language Models, including prompt engineering, context management, output validation, evaluation techniques, and hallucination mitigation. Experience with Python and/or C#, along with familiarity with modern AI frameworks such as LangChain, Microsoft Agent Framework, or similar technologies. Experience processing unstructured data, including PDFs, handwritten notes, images, scans, and related formats. Strong communication skills, including the ability to explain technical problems clearly to both developers and non-developers.