PHIL
health-tech
AIDeveloperSummerIntern
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“AI Developer Summer Intern at PHIL. Skills: AI/ML models and applications, generative AI, large language models (LLMs), prompt engineering. Assist in the design, development, testing, and deployment of AI/ML models and applications. Build and optimize data pipelines and inference workflows”
What You'll Achieve.
solving real business problems; improving business processes; operational efficiency; internal tooling; enabling for more innovation; more patients staying on their treatment plans longer
Industry & Context.
problem-solving skills; analytical
What They're Looking For.
Must Have
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field, programming skills, 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
Nice to Have
Experience with Git, CI/CD pipelines, or DevOps practices, Prior internship, research experience, or personal AI/ML projects
What You'll Do.
and deployment of AI/ML models and applications
Build and optimize data pipelines and inference workflows
Develop prototypes and AI-powered applications within cloud environments
Work with both structured and unstructured datasets
Experiment with large language models (LLMs)
prompt engineering techniques
and technical findings
Participate in code reviews
and technical discussions
Present project work and findings
Support additional projects and initiatives as needed
How You'll Work.
Team & Collaboration
Collaborate with Engineering, IT, and business stakeholders; 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; collaborate effectively within cross-functional teams
Communication Scope
Ability to communicate technical concepts clearly
Process & Methodology
sprint planning
Full Job Description
COMPANY OVERVIEW 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! APPLICATION DEADLINE: 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.**** POSITION OVERVIEW 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 to
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