Full Stack & AI Engineering Intern

Gesture•New York, NY

63d•Hybrid

About The Position

Gesture is building the next evolution of emotionally intelligent consumer engagement. As an Engineering Intern, you will work alongside senior engineers and product leaders to develop AI-driven personalization systems, loyalty infrastructure, predictive user experiences, and advanced in-app capabilities that leverage behavioral and emotional intelligence. This role is hands-on. You will contribute production-level code to systems used by millions of consumers while learning how engineering, product, and data come together inside a fast-growing technology company.

Requirements

Fundamental understanding of predictive modeling and recommender systems
Familiarity with prompt engineering or LLM APIs
Interest in behavioral scoring and personalization systems
Experience with React or React Native
Proficiency in backend development with Node.js or Python
Understanding of API integrations, ETL, and third-party data flows
Some experience with Docker, testing frameworks, and automated pipelines
Interest in serverless infrastructure and continuous deployment
Awareness of data handling best practices, including privacy and regulatory considerations
Customer-obsessed and motivated by improving user experience
Strong ownership mentality with the ability to move ideas from concept to production
Analytical and creative problem-solving ability
Rapid learner with curiosity about new AI tools, frameworks, and SDKs
Emotionally intelligent, understanding the human impact of technology
Clear communicator who collaborates effectively across teams
Pursuing a degree in computer science, engineering, data science, or equivalent technical experience
Prior work or project-based experience in full stack development, AI engineering, or mobile app development

Nice To Haves

Exposure to Firebase or GCP services is a strong plus
Exposure to personalization engines, loyalty systems, or recommendation algorithms is a plus
Startup or fast-paced engineering environment experience is beneficial

Responsibilities

Support the design and implementation of data models, predictive pipelines, and recommendation logic for personalization across the Gesture ecosystem.
Contribute to algorithms that translate user behavior into engagement cycles, rewards, and individualized experience pathways.
Assist in building backend components that power user incentives, behavioral triggers, and reward systems.
Help develop logic that connects user signals (sending patterns, interaction frequency, referrals, etc.) to loyalty outcomes and campaign eligibility.
Collaborate with the mobile team (React Native) to integrate AI-driven recommendations, dynamic feeds, and adaptive notification patterns.
Develop backend services that support A/B testing, targeted campaigns, personalized prompts, and customer journey flows.
Work on API integrations between Firebase, Zoho CRM, Segment, Voucherify, and internal data systems.
Assist in ETL workflows, data ingestion, and ensuring data quality across the ecosystem.
Participate in performance optimization, load testing, and architecture enhancements.
Learn best practices for building systems designed to scale to millions of users.
Work with product, data science, marketing, and design teams to convert behavioral insights into consumer-facing features.