
location_onHernando de Soto Bridge, Downtown, Memphis, Shelby County, West Tennessee, Tennessee, 38103, United States
At St. Jude Children's Research Hospital, technology serves a higher purpose: advancing cures and saving lives. Our global commitment ensures that families never receive a bill for treatment, travel, housing, or food, allowing them to focus entirely on helping their child live.
We are seeking a Software Developer II with AI expertise to support our Research IT ecosystem. In this position, you will bridge cutting-edge AI innovation and dependable production systems, building intelligent, reliable, and scalable solutions that directly enable scientific discovery in pediatric catastrophic diseases.
Your work will involve designing and implementing software solutions, including AI and large language model (LLM)–powered systems, to help researchers make sense of complex data and accelerate insights. You will collaborate closely with engineers, data scientists, and research teams to build data pipelines, APIs, and microservices that bring AI models from experimentation into daily use. Beyond deployment, you will steward these models over time through monitoring, drift detection, and continuous improvement, recognizing that reliability and trust are critical when supporting life-changing research.
This role is ideal for someone driven by impact who wants to apply modern software engineering and AI techniques in service of a mission larger than any single product.
St. Jude Children's Research Hospital is an Equal Opportunity Employer.
Work model: On-site
Hernando de Soto Bridge, Downtown, Memphis, Shelby County, West Tennessee, Tennessee, 38103, United States
Memphis, Tennessee
Master's degree. Experience with LLMs (OpenAI, Anthropic, open-source models) and vector databases (e.g., Pinecone, Weaviate, FAISS). Knowledge of RAG (retrieval-augmented generation) architectures and background in NLP, recommendation systems, or deep learning.
Skills: Ai, Large Language Models, LLM, Retrieval-Augmented Generation, Rag, Vector Databases, NLP, Recommendation Systems, Deep Learning, Prompt Engineering.
Education: Bachelor's degree in computer science, data science, information science, business, or related field required; Master's degree preferred.