Full Stack & AI Engineering Intern
Gesture
Fullstack AI Engineer Intern Location: ONSITE / IN-OFFICE NYC / HYBRID Internship Duration: 6 MONTHS Department: AI Operations and Engineering Type: Internship | Part-Time or Full-Time | Paid and Unpaid or Academic Credit Immediate Openings Only: This internship is for candidates who can interview and start right away. Please note that we are NOT accepting future-dated applications for Summer 2026. DO NOT APPLY UNLESS you are available to begin interviewing ASAP, and if selected, you can start immediately. About the Role 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. What You'll Do AI Engineering and Personalization Development 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. Loyalty and Engagement Infrastructure 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. Full Stack Feature Development 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. Systems Integration and Data 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. Scalability, Performance, and Quality Participate in performance optimization, load testing, and architecture enhancements. Learn best practices for building systems designed to scale to millions of users. Cross-Functional Collaboration Work with product, data science, marketing, and design teams to convert behavioral insights into consumer-facing features. Technical Stack Exposure Front End — React, React Native, TypeScript, and FERN stack Back End — Node.js, Python (FastAPI, Express) Data & Storage — Firestore, PostgreSQL, BigQuery Cloud & Infrastructure — Google Cloud Platform (Firebase, Cloud Functions, Pub/Sub, Cloud Run), AWS (select services), Docker, GitHub Actions, CI/CD pipelines AI / Machine Learning — TensorFlow, PyTorch, scikit-learn, OpenAI and LangChain frameworks for LLM-driven personalization CRM / Marketing Platforms — Twilio Segment, Zoho CRM, Voucherify, OneSignal Preferred Core Skills and Competencies AI / Machine Learning Fundamental understanding of predictive modeling and recommender systems. Familiarity with prompt engineering or LLM APIs. Interest in behavioral scoring and personalization systems. Full Stack Engineering Experience with React or React Native. Proficiency in backend development with Node.js or Python. Exposure to Firebase or GCP services is a strong plus. Data Architecture Understanding of API integrations, ETL, and third-party data flows. DevOps & Deployment Some experience with Docker, testing frameworks, and automated pipelines. Interest in serverless infrastructure and continuous deployment. Security and Compliance Awareness of data handling best practices, including privacy and regulatory considerations. Behavioral Traits 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 Background 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. Exposure to personalization engines, loyalty systems, or recommendation algorithms is a plus. Startup or fast-paced engineering environment experience is beneficial. What You’ll Gain at Gesture Meaningful, Shippable Work — Every intern contributes to features that go live in the product. No shadow projects. Professional Development and Mentorship Direct mentorship from senior engineers. Biweekly sessions with executives and division leads. Structured growth guidance and portfolio development. Leadership and Strategy Exposure 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. AI Innovation Environment Access to Gesture’s internal AI Playground for prototyping and experimentation. Guided learning on how AI integrates with product, logistics, and consumer experience. Leadership Lunch Series Weekly conversations with leaders across engineering, product, and operations. Compensation & Culture Gesture is committed to maintaining fair, transparent, and performance-driven compensation practices. Depending on the role, total compensation may include commissions, bonuses, or other performance-based incentives. Final compensation packages are determined by factors such as years of experience, skill set, certifications, and location. Additional components may include equity, annual performance rewards, and other incentive programs tied to company and individual results. At Gesture, we operate with a KPI-driven, pace-setting culture—one that rewards sharp, motivated, high-performing individuals who take initiative and execute with excellence. The ideal candidate will thrive in a startup environment, embodying curiosity, grit, and a builder’s mindset. This is a ground-floor opportunity to grow alongside one of the most exciting and innovative companies redefining connection through technology. Equal Opportunity Employer Statement We welcome applicants from all backgrounds. Gesture is an Equal Opportunity Employer. Gender, ethnicity, or any protected class do not affect our hiring decisions. #J-18808-Ljbffr
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