Software Engineer (FDE / Platform) - Intern

Public source summary from intern-list.com / Jobright.

Charta Health is building an AI platform that streamlines workflows for healthcare organizations across revenue cycle, clinical operations, and administrative functions. The Software Engineering Intern will contribute to production systems, develop customer-facing AI and machine learning solutions, and build scalable platform systems, data pipelines, infrastructure, and tooling.

Responsibilities

Collaborate closely with healthcare clients to understand their workflows and identify opportunities to leverage AI and machine learning Customize and deploy Charta Health's AI-driven platforms to address specific client needs Rapidly prototype and iterate on solutions, adapting to client feedback and evolving requirements Break down complex projects into actionable steps and deliver results in ambiguous environments Explore and integrate a wide range of AI/ML technologies, adapting to the diverse needs of our clients Provide technical expertise and support to clients, ensuring successful deployment and adoption of our solutions Work closely with our internal engineering team to provide feedback and contribute to product development Design, build, and improve core platform systems that power analyses, data pipelines, and AI workflows across all customers Contribute to scalable infrastructure and tooling that make deployments faster, more reliable, and easier to maintain Help define internal engineering standards, abstractions, and reusable components that turn one-off solutions into durable product capabilities Stay up-to-date with the latest advancements in AI/ML and apply them alongside strong software engineering practices

Qualifications: Proficiency and practical coding skills (Python and TypeScript), with a focus on delivering tangible results Solid understanding of common algorithms and data structures (e.g., arrays, linked lists, trees, hash tables) and practical ability to select and implement them appropriately Experience systematically isolating and diagnosing issues within code, leveraging debugging tools, log analysis, and stack traces effectively Ability to efficiently navigate unfamiliar codebases, understand architectural patterns, and contribute quickly to existing projects Practical knowledge of writing and running unit and integration tests to verify code correctness Adaptability and the ability to quickly learn and master new technologies and concepts A priority on delivering business value over solving purely theoretical challenges A desire to explore a wide range of technologies and problems, rather than specializing in one area The ability to thrive in ambiguous environments and rapidly produce results The ability to excel at breaking down complex projects into actionable steps Resilience and resourcefulness, allowing you to overcome obstacles and find creative solutions Ambition and a desire for a high-growth opportunity Strong emotional intelligence, excellent communication, and interpersonal skills Excitement about working with external customers and building strong relationships A genuine interest in the medical field and a passion for improving healthcare Completed at least your 2nd year of a Computer Science, Engineering, or related technical degree Experience in a startup environment Experience and/or demonstrated interest in healthcare Experience with Large Language Models (LLMs) and prompt engineering Experience with neural networks and machine learning Degree in Computer Science / Engineering or related field

Benefits: Team dinners and snacks in the office to keep you at your best Growth opportunities in a fast-paced, innovative tech startup Ongoing professional development and access to cutting-edge AI and healthcare tools Lively, in-person work culture at our SF Headquarters or NYC office