Full Stack & AI Engineering Intern - Denver On-Site

Gesture • Denver, CO

1d • $800 - $1,600 • Onsite

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 tools for our Operations (Marketing, Sales, Fulfillment) team to utilize to optimize and scale our model. This role is hands-on. You will contribute production-level code to systems utilized internally to drive automation, keeping our team working on projects that truly move the needle 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 Python
• Exposure to Firebase or GCP services is a strong plus
• 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 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 internal 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.

Benefits

• Meaningful, Shippable Work Every intern contributes to features that go live in the product. No shadow projects.
• 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

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Number of Employees: 11-50 employees