Full-Stack Product Engineer Intern (PLUTO IN AQUARIUS, Pack Intern, Summer 2026)

SUMMER 2026 

**This internship is hosted by PLUTO IN AQUARIUS LLC and sponsored by the Nevada Career Studio (NCS). 

Students are highly encouraged to visit the Nevada Career Studio during our drop-in hours or use our Virtual Resume & Cover Letter Review service BEFORE applying for these positions. Resumes and cover letters that do not meet NCS expectations will not be included in applicant packages to employers.   

PLUTO IN AQUARIUS LLC 

About PLUTO IN AQUARIUS LLC: 

Pluto in Aquarius LLC (PIAVS) is a venture studio based in Reno, Nevada that builds AI-driven companies from the ground up. We combine domain expertise, proprietary data strategies, and modern AI development tools to create ventures that solve real, measurable problems at scale. 

Our current venture is building the first standardized condition and risk intelligence platform for residential real estate. We use large language models to parse complex property documents, integrate property-level climate risk data from First Street Foundation, and generate a transparent, auditable 0-to-100 property condition score. The platform runs on Next.js, Vercel, and Supabase, with AI document intelligence at its core. 

Summer 2026 interns will inherit a working demo built by our Spring 2026 cohort and take it from functional prototype to commercial-grade product. This is a production engineering challenge, not a greenfield build. That means hardening the architecture, closing security gaps, building for scale, and shipping features that real users will use at launch. 

Our development stack is AI-native. We build with Claude Code for agentic software development, Cursor AI for intelligent code editing, and Replit for rapid prototyping and collaborative iteration. Security is built into the pipeline from day one: we treat vulnerability scanning, secret management, and DevSecOps practices as baseline requirements, not afterthoughts. As the platform moves into production, we are building the networking and load balancing architecture required for high availability, including DNS configuration, firewall rules, and application load balancing. Students with MLOps experience will find opportunities to contribute to our machine learning lifecycle infrastructure as we move from prototype scoring models toward production-grade predictive systems. 

We move fast, give interns meaningful ownership of real product features, and expect higher-level thinking on architecture, security, and scale. If you want to work on hard problems with modern tools and see your code reach real users, this is the right place. 

Internship Description: 

Summer 2026 interns will take a working prototype built by our Spring 2026 cohort and deliver a commercial-grade platform ready for public launch. This is not a learning exercise. Interns will own real features, make real architectural decisions, and ship code that reaches real users before the internship ends. 

The platform uses large language models to parse complex property documents, integrates third-party climate and property data APIs, and generates a transparent, auditable condition score with a full homeowner dashboard. The technical surface covers AI document intelligence, full-stack web development, cloud infrastructure, and data pipeline architecture. 

Interns work directly with the founding team in a flat, fast-moving environment. There are no layers of management between an intern's code and production. Higher-level thinking on system design, security, and scalability is expected and will be used. 

This role owns the user-facing product. You will take the demo dashboard and build it to production quality: all dashboard layers, the score change log, notifications hub, project timeline, and document display. You will define and maintain the data contracts between the frontend and the scoring engine and collaborate directly with the AI/Data Pipeline Engineer and Infrastructure Engineer to integrate, deploy, and harden what you build. 

Duties/Responsibilities: 

• Complete 360 hours of work as an intern (32-40 hours per week, 9 weeks minimum) 
• Inherit and extend the demo dashboard codebase built on Next.js and Supabase, with full context transfer from the Spring 2026 cohort 
• Build and ship production-ready dashboard features including the score change log, notifications hub, project timeline with payment tracking, confidence gap closer, environmental risk toggle, and document intelligence display 
• Define and maintain data contracts and API endpoints between the frontend and the backend scoring engine 
• Integrate third-party data sources into the dashboard layer including property records, climate risk data, and utility data as available 
• Collaborate with the AI/Data Pipeline Engineer on API design and data shape requirements to ensure clean handoffs between the scoring engine and the UI 
• Collaborate with the Infrastructure Engineer on deployment pipeline configuration, environment variables, and staging environment parity 
• Write clean, documented, reviewable code following established contribution guidelines 
• Participate in code reviews, architectural discussions, and sprint planning with the founding team 
• Produce end-of-internship handoff documentation covering architecture decisions, incomplete work, and recommendations for the next development cycle 

Goals and Expectations of the Intern: 

By the end of the 12-week internship, this intern is expected to have: 

• Delivered a production-ready homeowner dashboard with all core features functional, tested, and live at commercial launch 
• Defined and documented clean data contracts between the frontend and scoring engine that the AI/Data Pipeline Engineer and future engineers can build against reliably 
• Demonstrated measurable improvement in at least one of the following areas: dashboard performance, user experience quality, data layer reliability, or frontend security posture 
• Produced architectural decision records covering all major frontend and data layer choices made during the internship 
• Completed a structured end-of-internship knowledge transfer covering what was built, what was learned, and what remains for the next development cycle 

Beyond deliverables, this intern is expected to operate with early professional-level independence. That means identifying integration problems before they block other engineers, proposing solutions rather than waiting for direction, and communicating blockers early. The dashboard is the surface that alpha customers will judge the platform on. The expectation is engineering judgment and product sensibility, not just task completion. 

Interns who perform at a high level will be considered for continued engagement with PIAVS ventures beyond the summer cycle. 

Required Qualifications: 

• Must be a degree-seeking undergraduate OR graduate student at the University of Nevada, Reno after the Spring ‘26 semester  
• Spring ‘26 or earlier graduates are not eligible for the Wolf Pack STEM Internship Program 
• Student must be enrolled in a major or minor program in the following colleges: 
  • Agriculture, Biotechnology, and Natural Resources (CABNR) 
  • Business 
  • Engineering 
  • Science 
  • Public Health/Orvis 
• Coursework in Computer Science, Computer Engineering, Information Systems, or a related STEM field 
• Demonstrated proficiency in React or Next.js with hands-on project or research experience building and shipping user-facing web applications 
• Experience with relational or managed database services, including data modeling, querying, and schema design 
• Working knowledge of REST API design, integration, and debugging including experience consuming third-party APIs in a production or research context 
• Experience with version control and collaborative development workflows using Git and GitHub 
• Demonstrated ability to read, understand, and extend an existing codebase independently 
• Familiarity with responsive UI design principles and accessibility standards 
• Strong written and verbal communication skills sufficient for async remote collaboration, technical documentation, and cross-role coordination with backend and infrastructure engineers 

Preferred Qualifications: 

• Experience with Supabase or equivalent managed backend-as-a-service platforms in a production or research context 
• Experience with Vercel or equivalent edge deployment platforms including environment configuration and preview deployments 
• Familiarity with data visualization libraries and dashboard UI patterns relevant to financial or analytical consumer products 
• Experience consuming and displaying real-time or near-real-time data streams in a web application 
• Hands-on experience with AI-native development tools including Claude Code, Cursor AI, or Replit 
• Familiarity with frontend security best practices including input validation, authentication flows, and secure handling of user data 
• Experience with component testing, integration testing, or end-to-end testing frameworks 
• Prior internship, research, or project experience in proptech, fintech, insurtech, or data-intensive consumer platforms 
• Demonstrated ability to deliver independently in a fast-moving, resource-constrained environment such as a startup, research lab, or competitive engineering program 

Desired Schedule for Intern: 

Full-time, 32-40 hours per week over 12 weeks, May 18 through August 8, 2026. Core collaboration hours are Monday through Friday, 9am to 3pm Pacific time, with flexibility outside that window for focused individual work. Interns are expected to be available for daily async check-ins and weekly synchronous team meetings during core hours. 

The schedule is remote-first but interns based in the Reno area are encouraged to participate in periodic in-person working sessions with the founding team. 

Pack STEM internships require interns to complete 360 hours during their internship. It is the intern’s responsibility to ensure this requirement is met.