Langgraph, Azure, Databricks, AWS

1 week ago


Chesterfield, Missouri, United States Mercy Full time

The Senior AI Engineer will lead the design, development, and deployment of cutting-edge AI solutions, including large language models (LLMs) and advanced machine learning (ML) systems. This role requires expertise in operationalizing AI/ML models at scale, driving software development initiatives, and leading efforts to integrate AI technologies into clinical, operational, and business workflows. The Senior AI Engineer will collaborate with cross-functional teams to solve complex problems and contribute to Mercy's vision of personalized, predictive, and proactive care.Education: Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.Experience: 
•    At least 4 years of experience in AI/ML development and software engineering, with demonstrated success in deploying production-grade AI solutions.
•    Experience mentoring team members or leading technical initiatives.Other Skills, Knowledge, Abilities: 
•    Proficiency in Python, Java, or C++ for AI/ML development.
•    Expertise with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
•    Strong skills in NLP, LLM fine-tuning, and prompt engineering.
•    Experience with agentic AI design or orchestration tools (e.g., LangGraph, CrewAI).
•    Familiarity with cloud platforms (AWS, Azure, GCP), Docker, and Kubernetes.
•    Solid database experience (SQL/NoSQL) for structured and unstructured data.
•    Excellent communication, problem-solving, and leadership skills.Preferred Qualifications:Education: Graduate degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.Experience: 
•    Experience with MLOps, distributed computing (e.g., Databricks, Spark), and microservices.
•    Familiarity with explainability tools, responsible AI practices, and regulatory compliance.
•    Track record of delivering AI applications that provide measurable business or clinical impact.



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