Software Engineering Intern (AI / Full-Stack)

About DWIG DWIG is an ambient intelligence platform built for professionals in motion. We are developing

the first proactive AI personal assistant designed for people who spend their day on the road —

field sales consultants, executives, and mobile professionals who need their world handled

before they have to ask. We are an early-stage startup backed by TechStars and currently

raising our seed round. Our team is small, focused, and building something genuinely new.

This internship is real work, not busywork. You will contribute directly to a product that is actively

being designed, built, and taken to market. You will work closely with the founding team, have

ownership over meaningful deliverables, and leave with a portfolio of work you can point to.

Position Overview Role: Software Engineering Intern (AI / Full-Stack) Location: Miami, FL (Hybrid — remotefriendly) Duration: 10 weeks (flexible start date) Compensation: Unpaid / Academic Credit ·

Letter of Recommendation · Real-world project ownership Ideal Candidate: Junior, Senior, or

graduate student in Computer Science, Software Engineering, or a related technical field

About the Role DWIG is building an ambient intelligence engine that orchestrates data from calendars, CRMs,

maps, weather services, and real-time city intelligence to proactively help mobile professionals

navigate their day. We are looking for a software engineering intern who is comfortable working

across the stack, curious about AI and LLM-powered applications, and eager to own a real project from start to finish. You will work in a fast-moving, small-team environment where your code ships to a real product.

You will be expected to think independently, ask good questions, and figure things out — using

modern tools including LLMs and AI-assisted coding environments as a standard part of your workflow.

What You Will Work On Feature Development Build and ship features for DWIG’s mobile and backend systems.

Depending on your skills and interests, this may include front-end mobile components (React Native), backend API development (Node.js / Python), or data pipeline work. LLM Integration Work with large language model APIs (OpenAI, Anthropic, Gemini) to build

intelligent features — including context-aware notification generation, voice-to-CRM extraction, pre-meeting brief assembly, and ambient summarization. Third-Party API Integration Integrate external services including Google Maps, Salesforce,

HubSpot, SpotHero, Tomorrow.io, LinkedIn, and others into DWIG’s orchestration layer.

AI-Assisted Development Use modern AI coding tools — including Cursor, GitHub Copilot,

and LLM-based code generation — as a standard part of your development workflow. We expect you to be fluent in these tools, not just aware of them. Research and Prototyping Research technical approaches to new features, evaluate libraries

and APIs, and build proof-of-concept implementations to validate feasibility before full development. Code Quality and Documentation Write clean, well-documented code. Participate in code reviews. Leave the codebase better than you found it. Independent Project Ownership You will be assigned a defined project with clear goals and

expected to drive it to completion with appropriate check-ins. This is not a task-queue role — you will own something.

What We Are Looking For Required Proficiency in at least two of: JavaScript / TypeScript, Python, Java Experience building with REST APIs — both consuming and designing them Familiarity with LLMs and prompt engineering — you understand how to work with language model APIs, structure prompts effectively, and handle model outputs in production

Comfortable using Cursor, VS Code, or similar modern IDEs as your primary development environment Ability to work independently on a defined project — you can break down a problem, make decisions, and ship without needing constant direction Strong debugging and problem-solving instincts — you figure things out Preferred Experience with React Native or mobile development (iOS / Android) Familiarity with Node.js or FastAPI / Flask for backend development Understanding of vector databases, RAG (Retrieval-Augmented Generation), or agentic AI patterns Experience with Salesforce API, Google Maps API, Google Calendar API, or similar thirdparty integrations Exposure to cloud platforms (AWS, GCP, or Azure) and basic DevOps practices Interest in ambient computing, AI agents, or productivity technology What You Will Gain Real-world experience building an AI-native product from early stage — not a tutorial or sandbox project Ownership of a shipped feature or integration that lives in a production codebase

Fluency in modern AI-assisted development workflows (Cursor, LLM APIs, agentic coding)

Mentorship from the founding team on software architecture, product thinking, and startup engineering culture A letter of recommendation and professional reference upon successful completion A project you can describe in detail in any future job interview To Apply Send your resume and GitHub profile (or any code samples) to [email protected] with the subject line: Software Engineering Intern — [Your Name] Briefly describe (2–3 sentences) a technical project you are proud of and what you built.

DWIG is an equal opportunity employer. We welcome applicants of all backgrounds, disciplines, and experience levels. Questions? Contact us at [email protected]