A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
Full-Time We are seeking an AI Software Engineer to build innovative AI-driven solutions focused on processing unstructured medical data and improving workflow automation. This is an opportunity to own projects from concept through production and play a key role in designing and implementing next-generation AI capabilities within our software platform. What You'll Do Design and develop AI-powered applications leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. Build solutions that process and analyze unstructured medical data, including PDFs, scanned documents, images, and handwritten notes. Create tools that streamline the creation, customization, and validation of medical forms. Design systems that transform user-generated requests into actionable reports within our existing platform. Evaluate and improve AI model performance through prompt engineering, output validation, and hallucination mitigation techniques. Collaborate with stakeholders across the organization to identify opportunities for AI-driven improvements. Required Qualifications 5+ years of professional software engineering experience. Hands-on experience building applications with LLMs, RAG systems, AI agents, or similar AI technologies. Strong proficiency in Python and/or C#. Experience working with vector databases such as ChromaDB, Pinecone, Azure AI Search, or similar technologies. Experience designing and implementing production-grade retrieval pipelines for unstructured data. Strong understanding of prompt engineering, context management, model evaluation, and response validation. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences. Demonstrated initiative and the ability to independently architect and deliver solutions from the ground up. Preferred Qualifications Experience with LangChain, Microsoft Agent Framework, or similar AI development frameworks. Experience with C#, TypeScript, SQL, and MVC-based web application architectures. Experience integrating AI functionality into existing enterprise software platforms. Interest in staying current with emerging AI technologies, technical research, and open-source projects. Why Join Us? You'll work on meaningful projects that apply AI and machine learning to real-world healthcare challenges while having the opportunity to shape architecture, influence technical direction, and build solutions that directly impact users. Additional Information This position is 100% onsite in Davis, CA. Applicants must be legally authorized to work in the United States without current or future employer sponsorship. No C2C, subcontracting, or third-party agency submissions. No referral fees will be paid. If you're passionate about building practical AI solutions and want the opportunity to take ownership of impactful projects, we'd love to hear from you. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.
