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Founded in 2015, PHIL is a Series D health-tech startup that is building a platform that interfaces between doctors, pharmacies, and patients to streamline the process of patients receiving prescriptions. This is a complex, archaic industry, and we've set out to change that.
PHIL’s B2B2C platform provides an end-to-end prescription management and delivery service. Our robust platform connects patients, prescribers, pharmacies, and manufacturers, enabling easy and affordable access to medicine. Through its digital stakeholder experiences, patient access services, market access solutions, and distribution models, pharma manufacturers can deliver affordable and timely therapy access to patients, resulting in more patients staying on their treatment plans longer. Consequently, pharma manufacturers are enabled for more innovation.
The team at PHIL is a group of like-minded individuals from varying backgrounds, passionate about creating a new and innovative healthcare platform that is focused on patient experience and overall human wellbeing. Ready to join our team of mission-driven, analytical, and passionate people? Keep reading!
Candidates may apply until May 29, 2026 at 9:00 PM PST. Following the application deadline, our team will review all submissions and contact candidates selected to move forward in the interview process.
****Please do not message our team directly about the position. We will review all applicants after the application deadline.****
PHIL is seeking a motivated and curious AI Developer Summer Intern to join our Engineering team. This internship will provide hands-on experience designing, building, testing, and deploying AI- and ML-powered solutions that solve real business problems.
Reporting to the Engineering leadership team, you will collaborate with cross-functional stakeholders to support AI initiatives focused on improving business processes, operational efficiency, and internal tooling. This role offers exposure to enterprise-scale systems, modern AI architectures, and emerging technologies, including generative AI and large language models (LLMs). You’ll have the opportunity to contribute to meaningful projects while learning from experienced technical mentors in a fast-paced, high-growth environment.
Assist in the design, development, testing, and deployment of AI/ML models and applications
Collaborate with Engineering, IT, and business stakeholders to translate business needs into technical solutions
Build and optimize data pipelines and inference workflows
Develop prototypes and AI-powered applications within cloud environments such as AWS
Work with both structured and unstructured datasets, including text, APIs, and image-based data
Experiment with large language models (LLMs), prompt engineering techniques, and AI APIs
Document code, experiments, and technical findings for team collaboration and knowledge sharing
Participate in code reviews, sprint planning, and technical discussions with the Engineering team
Present project work and findings to technical and business stakeholders
Support additional projects and initiatives as needed across the department
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field
Strong programming skills and familiarity with AI-assisted development tools
Experience using cloud platforms such as AWS, Azure, or Google Cloud Platform
Exposure to generative AI, LLMs, natural language processing, or machine learning concepts
Familiarity with software engineering fundamentals including data structures, algorithms, and version control systems
Experience with Git, CI/CD pipelines, or DevOps practices preferred
Prior internship, research experience, or personal AI/ML projects preferred
Strong problem-solving skills, intellectual curiosity, and eagerness to learn
Ability to communicate technical concepts clearly and collaborate effectively within cross-functional teams
Ground floor opportunity with one of the fastest-growing startups in health-tech
Fully remote working environment
Competitive compensation (commensurate with experience)
Mentorship and hands-on experience with enterprise AI systems and modern development practices
Opportunity to contribute to impactful, real-world AI initiatives
PHIL Inc. is an equal-opportunity employer.