AI/ML Engineer

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.

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.
• Nice to have: experience with C#, TypeScript, SQL, and MVC-style architectures to integrate functionality into existing web applications and application servers that support medical question-answering through RAG.
• Ability to communicate technical concepts clearly to other developers.
• Interest in reading technical papers, documentation, and open-source contributions to improve your craft.

Important programming languages for this position include C# and Python.