AI Services and Platforms Software Engineer Intern

Highmark Health

. Build scalable, cloud-native software solutions for next-generation Generative AI applications .

Posted 11/3/2026part-timeRemote • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building scalable, cloud-native software solutions, particularly for Generative AI applications, with a strong focus on Python-based microservices and RESTful API design. Proficient in backend frameworks and committed to adhering to data security guidelines and compliance standards.

Highest-signal resume keywords

Python ProficiencyBackend Application DevelopmentRESTful API DesignExperience With FastAPI, Flask, DjangoUnderstanding Of HIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Microservices DevelopmentCloud DeploymentAutomated TestingSystem ArchitectureSoftware Engineering PrinciplesAPI Lifecycle ManagementService OrchestrationPerformance OptimizationObservability ImprovementResearch And Reporting

Tools & Technologies

Cloud EnvironmentsLarge Language ModelsRetrieval-Augmented GenerationAI Agents

Industry Keywords

Generative AIData Security GuidelinesCompliance StandardsDistributed Systems

Tech Stack

Tools & technologies

CloudDistributed SystemsDjangoFlaskMicroservicesPython

About the role

Key responsibilities & impact

Build scalable, cloud-native software solutions for next-generation Generative AI applications
Design and develop reusable APIs, microservices, backend components, and orchestration capabilities for enterprise AI solutions
Support products leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and other emerging GenAI capabilities
Contribute to architecture, development, testing, deployment, and optimization of backend solutions
Develop Python-based microservices
Design RESTful APIs
Build backend capabilities for RAG and AI agent solutions
Participate in system architecture and design discussions
Write automated tests
Deploy services to cloud environments
Improve system performance and observability
Participate in unit projects and initiatives
Conduct research and reporting, including recommendations or alternative proposals when requested
Perform related studies, enrichment programs, and assigned job-related duties

Requirements

What you’ll need

Applicants must be authorized to work in the U.S. independently
Bachelor’s degree
Pursuance of a graduate degree full or part-time in an accredited college or university
Currently pursuing a Master's degree in Computer Science, Software Engineering, or a related technical field
Strong proficiency in Python and experience with backend application development
Experience with backend frameworks such as FastAPI, Flask, Django, or similar technologies
Solid understanding of software engineering and system design principles
Understanding of APIs, distributed systems, service orchestration, and API lifecycle management
Must comply with HIPAA, data security guidelines, company policies, applicable laws, and training requirements

Benefits

Comp & perks

Hands-on training and experience in the business line
Mentorship from experienced software engineers, architects, and AI professionals
Direct exposure to production-grade software engineering
Meaningful project work
Opportunity to strengthen software engineering and architecture expertise
Experience with distributed systems, cloud platforms, containerization, APIs, performance monitoring, and modern DevOps practices