Langgraph, Azure, Databricks, AWS - AI Engineer

Find your calling at Mercy!

Langgraph, Azure, Databricks, AWS - AI Engineer

Mercy Enterprise Analytics

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.

• 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., Tensor Flow, 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.

• 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., Lang Graph, CrewAI).

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

From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32+ hours per pay period.

Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.