Lyric is the trusted leader in healthcare decision intelligence. Built on more than 35 years of proven results, Lyric combines responsible AI with clinical, payment, regulatory, and policy expertise to deliver transparent, auditable insights in milliseconds across real-time claims workflows. Lyric augments human decision-making so health plans can make faster, more accurate payments while maintaining full control. Today, Lyric supports 200 million lives, with nine of the top 10 U.S. health plans relying on its platform to reduce waste, improve efficiency, and support accurate payments.
Applicants must already be legally authorized to work in the U.S. Visa sponsorship/sponsorship assumption and other immigration support are not available for this position.
The Software Engineer Intern will join Lyric during an important period of technology modernization as we evolve our payment integrity platform, modernize legacy applications, build clean and scalable APIs, improve data performance, and prepare our technology for future growth.
This 12-week internship is designed for a student who has completed their third year of a Computer Science, Software Engineering, Computer Engineering, or related university program and wants to apply their academic experience to real production software challenges.
Working alongside experienced Lyric engineers, the intern will contribute to meaningful software engineering projects across full-stack development, APIs, cloud technologies, databases, automated testing, and AI-assisted software development.
A key component of the experience will be learning how modern engineering teams use AI coding tools and agents to accelerate development while maintaining high standards for code quality, security, testing, and human judgment.
Prior professional software engineering experience is not required.
Essential Job Responsibilities
Contribute to the design, development, testing, and delivery of software supporting Lyric's healthcare technology platform
Work alongside experienced engineers on modernization initiatives involving modern .NET, APIs, databases, cloud technologies, and web applications
Assist with developing and testing RESTful APIs and microservices that support scalable application architecture
Contribute to front-end development using technologies and frameworks such as Angular, React, JavaScript, or TypeScript
Gain hands-on experience working with relational databases, including SQL Server, and learn how engineers approach data modeling, queries, application performance, and data integrity
Use modern AI-assisted development tools to support coding, debugging, refactoring, test creation, documentation, and other software engineering activities
Learn how to effectively evaluate AI-generated code, identify incorrect or incomplete output, and apply human judgment before incorporating AI-generated work into a codebase
Participate in code reviews and receive feedback from experienced engineers on coding practices, architecture, testing, maintainability, and performance
Develop automated unit and integration tests and learn how testing is incorporated into modern software development and CI/CD practices
Assist with identifying, debugging, and resolving software defects and performance issues
Gain exposure to Azure and/or AWS and understand how modern applications are developed, deployed, monitored, and operated in cloud environments
Learn how observability, structured logging, monitoring, and application telemetry help engineering teams understand application health and troubleshoot issues
Work collaboratively with Engineering, Product, UX, DevOps, QA, and other stakeholders to understand business requirements and translate them into working software
Apply secure software development practices and learn how engineering teams protect sensitive healthcare and customer information
Participate in Agile development activities, including sprint planning, technical discussions, demonstrations, and retrospectives
Maintain clear technical documentation for the software and projects you contribute to
Complete a defined internship project or meaningful product deliverable and present the solution, technical approach, results, and lessons learned to Engineering and Technology leadership at the conclusion of the internship
Required Qualifications (By start of Internship)
Currently pursuing a Bachelor's or Master’s degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a closely related technical field
Expected to have completed the third year of undergraduate study prior to the start of the internship
Completion of university coursework in programming, software development, data structures, algorithms, databases, or related computer science disciplines
Foundational programming experience gained through coursework, academic projects, personal projects, hackathons, research, or other university activities
Familiarity with at least one modern programming language such as:C#JavaPythonJavaScript/TypeScriptC++Or a comparable object-oriented programming language
Foundational understanding of object-oriented programming, data structures, algorithms, and software development principles
Basic understanding of relational databases and SQL gained through coursework or project experience
Familiarity with source control concepts and tools such as Git/GitHub
Interest in using AI as part of the software development lifecycle while understanding the importance of validating AI-generated work
No prior professional software engineering experience required
Preferred Qualifications
Academic, personal, research, or hackathon projects involving full-stack application development, APIs, cloud computing, databases, or distributed applications
Exposure through coursework or projects to C# and .NET
Familiarity with front-end technologies such as Angular, React, JavaScript, TypeScript, HTML, or CSS
Coursework or project experience involving SQL Server, PostgreSQL, MySQL, or another relational database
Exposure to Microsoft Azure, AWS, or another cloud computing platform
Experience experimenting with AI coding tools or generative AI technologies such as GitHub Copilot, Cursor, Claude Code, Codex, ChatGPT, or similar tools through coursework or personal projects
Interest in learning how AI agents can support activities such as code generation, debugging, refactoring, testing, documentation, and software modernization
Participation in programming clubs, hackathons, coding competitions, university research, open-source projects, or other technical extracurricular activities
Interest in healthcare technology, FinTech, AI, cloud engineering, distributed systems, or large-scale software modernization
During the internship, the Software Engineer Intern will have the opportunity to:
Build software that contributes to real healthcare technology products and modernization initiatives
Work directly with experienced Software, Staff, and Principal Engineers
Gain practical exposure to modern .NET, APIs, cloud infrastructure, databases, front-end technologies, automated testing, and distributed systems
Learn how enterprise engineering teams modernize complex legacy technology while continuing to support real customers
Develop practical experience using AI coding tools and agents as engineering force multipliers—not simply as autocomplete tools
Learn how experienced engineers determine when AI-generated code is correct, when it needs refinement, and when human judgment should override it
Participate in professional code reviews, architecture discussions, Agile development, and modern software delivery practices
Understand how software engineering changes when building technology that handles sensitive healthcare and payment data
Develop experience collaborating across Engineering, Product, UX, DevOps, and QA
Build a portfolio-worthy technical project with measurable product or engineering impact
Present their work to Lyric Engineering and Technology leadership at the conclusion of the internship
***The US base salary range for this full-time position is:
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. ***
Equal opportunity and legal
Lyric is an Equal Opportunity Employer that strives to create an inclusive environment, empower employees and embrace collaborative success.
