Langgraph, Azure, Databricks, AWS - AI Engineer (Remote)

We’re a Little Different Our mission is clear. We bring to life a healing ministry through our compassionate care and exceptional service. At Mercy, we believe in careers that match the unique gifts of unique individuals – careers that not only make the most of your skills and talents, but also your heart. Join us and discover why Modern Healthcare Magazine named us in its “Top 100 Places to Work.” Overview: Langgraph, Azure, Databricks, AWS - AI Engineer Position can be remote (Work from Home)

• Please note that as of the posting date of this job announcement, Mercy is unable to offer immigration sponsorship or visa assistance for this position. We encourage all eligible candidates, including U.S. citizens, permanent residents, and those with existing work authorization, to apply.

The AI Engineer joins a team of advanced professionals, including data scientists, engineers, and application developers. This role involves designing, developing, and operationalizing state-of-the-art AI solutions, including large language models (LLMs), to address complex challenges in clinical, operational, and business contexts. The AI Engineer will focus on building and integrating scalable AI/ML systems, collaborating on software development efforts, and driving innovation to advance Mercy’s vision of personalized, predictive, and proactive care. Qualifications:

• Experience: 2 years of experience in AI/ML development and software engineering
• Required Education: Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
• Other:
• Strong experience in designing, fine-tuning, and deploying LLMs, ML models, and agentic AI workflows.
• Proficiency in programming languages such as Python, Java, or C .Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).Solid SQL skills and experience working with structured/unstructured data, including EMR and financial datasets.Expertise in prompt engineering and generative AI applications.Excellent communication, problem-solving, and collaboration skills.
• Preferred Qualifications:
• Education: Graduate degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
• Experience:Experience with MLOps frameworks for deployment, monitoring, and lifecycle management.Hands-on experience with distributed computing (e.g., Apache Spark, Databricks).
• Proficiency in designing APIs and microservices.Familiarity with ethical AI and explainability techniques.Experience building AI-powered apps such as virtual assistants or analytics dashboards.
• Knowledge of testing frameworks for ML/AI solutions.Exposure to or experience developing agentic AI frameworks or orchestration tools (e.g., LangGraph, CrewAI).

We Offer

Great Benefits: Day-one comprehensive health, vision and dental coverage, PTO, tuition reimbursement and employer-matched retirement funds are just a few of the great benefits offered to eligible co-workers, including those working 32 hours or more per pay period! We’re bringing to life a healing ministry through compassionate care. At Mercy, our supportive community will be behind you every step of your day, especially the tough ones. You will have opportunities to pioneer new models of care and transform the health care experience through advanced technology and innovative procedures. We’re expanding to help our communities grow. Join us and be a part of it all. What Makes You a Good Match for Mercy? Compassion and professionalism go hand-in-hand with us. Having a positive outlook and a strong sense of advocacy is in perfect step with our mission and vision. We’re also collaborative and unafraid to do a little extra to deliver excellent care – that’s just part of our commitment. If that sounds like a good fit for you, we encourage you to apply. EEO/AA/Minorities/Females/Disabled/Veterans Apply tot his job Apply To this Job