Software Engineering - AI Intern

Description

Software Engineering Intern – AI                                                              Location: Malvern, PA. (On-Site)

Rajant Health Incorporated (RHI) is building a healthcare assurance ecosystem to enable proactive and personalized health. We provide personalized health insights that improve diagnostics, therapeutics, communication, and the overall patient experience.

Our monitoring solutions, data integration, and advanced analytics transform raw data into actionable insights for clinical, biomedical, and research applications.

Our portfolio includes Cowbell®, Q-Stat®, and Trovomics®—innovative technologies supporting large animal monitoring, remote health management, biomarker identification, and next-generation health discovery.

Based in Malvern, Pennsylvania, RHI develops intelligent healthcare technologies that make complex health data understandable and actionable for researchers, healthcare providers, and individuals.

Backed by our parent company, Rajant Corporation, with more than 25 years of innovation in intelligent edge networking and mission-critical connectivity, RHI is advancing the future of connected healthcare through AI, edge computing, and real-time health intelligence. For more information, visit RajantHealth.com or follow Rajant Health on LinkedIn and YouTube.

POSITION OVERVIEW:

Rajant Health is seeking a Software Engineering Intern - AI to support the development, testing, and improvement of software and AI-enabled applications. This is a hands-on opportunity for a student with software engineering experience and some exposure to artificial intelligence, machine learning, or Large Language Models to work alongside software engineers, AI specialists, and technical teams.

KEY RESPONSIBILITIES:

· Assist with the development, testing, debugging, and documentation of software applications and backend services.

· Write clean, maintainable code under the guidance of experienced software engineers.

· Support development of AI-powered features, prototypes, and workflows.

· Assist with integrating Large Language Models (LLMs), AI APIs, or machine learning capabilities into applications.

· Help develop and evaluate prompts, AI outputs, and application behavior.

· Work with APIs, databases, and structured or unstructured data.

· Participate in code reviews, testing, debugging, technical documentation, and research with software, AI, and product teams.

REQUIRED QUALIFICATIONS:

· Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical discipline; Master’s students are also welcome to apply.

· Programming experience with Python and/or another modern programming language.

· Understanding of software engineering fundamentals, debugging, data structures, and version control.

· Experience building software through coursework, personal projects, research, internships, or other practical development work.

· Some exposure to AI, machine learning, Large Language Models, or generative AI tools, with strong analytical, communication, and teamwork skills.

PREFERRED QUALIFICATIONS:

· Experience with Python-based AI or machine learning libraries, LLMs, prompt engineering, or AI APIs.

· Familiarity with REST APIs, SQL, Git, Linux, cloud technologies, web development, or backend services.

· Personal, academic, research, or internship projects involving AI or machine learning.

CANDIDATE PROFILE: 

The ideal candidate is curious, hands-on, and eager to apply software engineering skills to real technical problems. You enjoy building software, experimenting with AI technologies, debugging issues, and learning how modern applications move from prototype to production.

WHY JOIN RAJANT HEALTH:

· Gain hands-on experience contributing to innovative healthcare technologies and real software and AI projects.

· Work directly with experienced engineers, AI specialists, and technical teams in a collaborative environment.

· Build practical software and AI skills while contributing to products and technologies with real-world impact.

READY TO BUILD WHAT’S NEXT?

If you’re ready to help build healthcare technologies that improve lives and solve complex engineering challenges, we’d love to hear from you. Apply Today.

Employment Type: Paid Internship. Location: Malvern, PA. On-Site.

Apply: Please send cover letter and resume to [email protected].

Rajant Corporation is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, gender, national origin, age, physical or mental impairment, sexual orientation or any other category protected under federal, state or local law. Rajant is a USG Contractor and complies with all US laws, regulations and Executive Orders.

Requirements

• Transportation to commute to Malvern PA and work on-site.

REQUIRED QUALIFICATIONS:

· Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical discipline; Master’s students are also welcome to apply.

· Programming experience with Python and/or another modern programming language.

· Understanding of software engineering fundamentals, debugging, data structures, and version control.

· Experience building software through coursework, personal projects, research, internships, or other practical development work.

· Some exposure to AI, machine learning, Large Language Models, or generative AI tools, with strong analytical, communication, and teamwork skills.

PREFERRED QUALIFICATIONS:

· Experience with Python-based AI or machine learning libraries, LLMs, prompt engineering, or AI APIs.

· Familiarity with REST APIs, SQL, Git, Linux, cloud technologies, web development, or backend services.

· Personal, academic, research, or internship projects involving AI or machine learning.

CANDIDATE PROFILE: 

The ideal candidate is curious, hands-on, and eager to apply software engineering skills to real technical problems. You enjoy building software, experimenting with AI technologies, debugging issues, and learning how modern applications move from prototype to production.