Full Stack & AI Engineering Intern at Gesture in New York

Summary: Gesture is a fast-growing tech company using AI and machine learning to create innovative consumer engagement solutions. As an Engineering Intern, you will collaborate with senior engineers to develop AI-driven systems and contribute production-level code to enhance user experiences. 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 Required Qualifications: - 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 - 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 - 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 Preferred Qualifications: - Fundamental understanding of predictive modeling and recommender systems - Familiarity with prompt engineering or LLM APIs - Interest in behavioral scoring and personalization systems - Exposure to Firebase or GCP services is a strong plus - Interest in serverless infrastructure and continuous deployment - Exposure to personalization engines, loyalty systems, or recommendation algorithms is a plus - Startup or fast-paced engineering environment experience is beneficial Required Skills: AI / Machine Learning, Full Stack Engineering, Data Architecture Important Skills: DevOps & Deployment, Security, Compliance Nice-to-Have Skills: Customer-obsessed, Analytical problem-solving, Clear communicator, Rapid learner Benefits: Direct mentorship from senior engineers, Biweekly sessions with executives and division leads, Structured growth guidance and portfolio development, Invitations to the Founders’ Roundtable where strategy, scaling, and fundraising are discussed, Opportunities to observe how product and technical decisions are made at leadership level, Access to Gesture’s internal AI Playground for prototyping and experimentation, Guided learning on how AI integrates with product, logistics, and consumer experience, Weekly conversations with leaders across engineering, product, and operations