Magpie Health Analytics is seeking an experienced AI Engineer to design, build, and operate secure, trustworthy generative AI solutions.
The role supports healthcare clients in delivering faster, more consistent access to authoritative program guidance.

Key Responsibilities:

Develop generative AI solutions that ground LLM responses in source documentation and implement document ingestion pipelines.
Design guardrails, evaluation frameworks, logging, and monitoring to support transparency and responsible AI oversight.
Collaborate with cross-functional teams and deploy solutions within approved AWS services and federal security controls.

Qualifications:

Master's degree in computer science, data science, engineering, or related field with 5+ years of software and cloud experience.
Strong proficiency in Python and experience with LLM APIs, orchestration frameworks, vector databases, and AWS AI services.
Experience with Agile methodologies, CI/CD pipelines, and excellent communication skills for explaining AI to non-technical stakeholders.

Preferred Qualifications:

Experience supporting federal health programs, including FedRAMP, ATO, NIST 800-53, HIPAA, and responsible AI frameworks.
Familiarity with conversational or search interfaces, Section 508 accessibility, and relevant AWS certifications.

Magpie Health Analytics

Magpie Health Analytics provides secure, trustworthy generative AI solutions that help healthcare clients deliver faster, more consistent access to authoritative program guidance. They emphasize collaboration with cross-functional teams and responsible AI oversight in a culture focused on security and innovation.

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