AI Engineering Intern

PHIL • San Francisco, CA

2d • $30 - $50 • Remote

About The Position

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.

Requirements

• 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
• Strong problem-solving skills, intellectual curiosity, and eagerness to learn
• Ability to communicate technical concepts clearly and collaborate effectively within cross-functional teams

Nice To Haves

• Experience with Git, CI/CD pipelines, or DevOps practices preferred
• Prior internship, research experience, or personal AI/ML projects preferred

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Career Level: Intern
• Education Level: Associate degree