Design, build, and ship AI agents and automation that solve real problems across HealthEdge's engineering, product, and delivery organizations
Develop and implement AI Agents and automation to accelerate internal engineering workflows
Partner with software engineers to integrate AI into the company's existing software infrastructure
Collaborate with product managers, implementation consultants, and business operations teams to identify pain points and scope solutions
Stay current with advancements in LLMs and healthcare technology and apply new knowledge to contribute ideas for innovation
Optimize AI systems for accuracy, latency, cost, and safety
Maintain clear documentation of model development processes, methodologies, and results

Requirements

Master's degree in Computer Science, Machine Learning, Data Science, or a related field
2–4 years of experience building and deploying ML or AI systems in production
Strong proficiency in Python
Experience with LLM APIs, agentic frameworks (LangChain, Strands, etc.), and traditional ML frameworks (PyTorch, scikit-learn, etc.)
Interest in or familiarity with healthcare data and clinical workflows
Strong problem-solving skills and the ability to work with complex datasets
Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders

Benefits

HealthEdge commits to building an environment and culture that supports diverse representation
Inclusive workplace with opportunities for all employees to belong and make an impact

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonMachine LearningArtificial IntelligenceLLM APIsLangChainStrandsPyTorchscikit-learnmodel developmentautomation

Soft Skills

problem-solvingcommunicationcollaboration

Certifications

Master's degree in Computer ScienceMaster's degree in Machine LearningMaster's degree in Data Science