Applied Artificial Intelligence Engineer

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• The Applied Artificial Intelligence Engineer will be a vital member of the Education Design and Informatics team within the Office of Health Sciences Education at Vanderbilt University School of Medicine.

• The Education Design & Informatics Team (EDI) is tasked with overseeing technology, instructional design, data infrastructure, and quality enhancement for Vanderbilt's MD program and related health professions education.

• We are looking for an AI Engineer to bring our vision for precision medical education to fruition.

• You will incorporate intelligent features into our products, such as LLM-powered tools, semantic search, recommendation systems, and AI integration.

• Your contributions will extend to predictive modeling initiatives, including the early detection of at-risk learners.

• This role offers significant ownership and foundational influence, allowing you to shape AI strategy and its implementation.

• You will collaborate closely with educational leadership to pinpoint AI opportunities that enhance medical training.

⛳️ Requirements

• A Bachelor’s degree in a relevant field from an accredited institution of higher education is essential.

• A minimum of 5 – 7 years of professional experience is required.

• Experience in applied machine learning, AI engineering, or a similar field (3+ years) is necessary.

• Proficient Python skills and familiarity with ML frameworks such as scikit-learn, PyTorch, or TensorFlow (3+ years) are essential.

• Practical experience in building applications with LLMs, including prompt engineering, embeddings, retrieval-augmented generation, and agents (1+ years) is necessary.

• Experience in developing backend services (FastAPI, Flask, or similar) and RESTful APIs (1+ years) is required.

• A proven record of deploying AI or ML features to production environments (1+ years) is essential.

• Proficiency with SQL and experience working with data pipelines (3+ years) is necessary.

• Ability to convey technical concepts effectively to non-technical audiences (3+ years) is essential.

• Experience with Databricks and Azure cloud services (1+ years) is preferred.

• Familiarity with MLOps tools and practices (MLflow, model registries, CI/CD for ML) (1+ years) is preferred.

• Experience with vector databases (Pinecone, Weaviate, Chroma, or similar) (1+ years) is preferred.

• Experience working with multiple LLM providers or open-source LLMs and assessing trade-offs (1+ years) is preferred.

• Background in developing predictive models (classification, regression, forecasting) (1+ years) is preferred.

• Experience in education, healthcare, or other mission-driven sectors (1+ years) is preferred.

• Understanding of the unique aspects of AI in educational contexts (pedagogical alignment, learner privacy, appropriate automation) (1+ years) is preferred.

• A demonstrated ability to work independently and take ownership in previous roles is necessary.

🏝️ Benefits

• This position does not offer sponsorship for employment, either now or in the future, in any capacity.

• Fully remote position.

• Hybrid work arrangements available if desired.