AI Fullstack Engineer

About the job

AI Fullstack Engineer (Mid-Level)

Location: Remote (Brasilia Time UTC-3 or Dubai Time GMT+3 preferred) Team: Tech team for Product Engineering

Seniority: 1 – 3 yrs production experience Stack: Python / TypeScript / React + LLMs

About Us - Reimagining Venture Building with AI at the Core

We're Mundos, the world's first AI-native Venture Builder architecting the next generation of intelligent, high-impact businesses. Unlike traditional incubators or studios, we embed advanced AI capabilities from day zero, transforming how ventures are conceived, built, and scaled globally.

We operate at the convergence of visionary strategy and technical execution; identifying opportunities not visible to the naked eye, then rapidly materializing them through our proprietary AI venture building methodology and fast-paced engineering muscle. Working alongside forward-thinking partners across MENA and LATAM, we're not just implementing AI; we're fundamentally rethinking business models around AI's capabilities.

While others talk about AI transformation, we're already shipping it: moving with startup velocity but maintaining institutional-grade discipline and quality and seamless user experiences. Our globally distributed team unites serial entrepreneurs, AI researchers, and seasoned operators who share one trait: the ability to translate cutting-edge AI capabilities into tangible business impact.

We're seeking a versatile software engineer who thrives in high-velocity environments, ships production-ready code across the full stack, and is eager to help architect the future of AI-powered applications, and grow into an AI-powered engineering team.

What You’ll BuildArchitect & Build: Create robust RESTful/GraphQL APIs that power both internal tools and customer-facing applications in our venture portfolio

AI Integration: Implement and optimize RAG pipelines, vector DB integrations, PostgreSQL, Redis, external APIs and LLM orchestration layers that deliver intelligence, not just responses

Full-Stack Mastery: Own feature development from back-end logic to polished React UIs (TypeScript/Javascript), balancing technical elegance with business velocity

Team Collaboration: Work directly with our founding AI engineer and senior engineering leadership while mentoring junior talent—we grow together, and deliver fast iterations

Agile Execution: Drive from sprint planning to deployment, with ownership across the entire development lifecycle. Write clean LLDs and participate in sprint planning, code reviews, and deployment automation

Infrastructure Evolution: Deploy and manage services using Docker and cloud infrastructure (AWS/GCP)

Your Toolkit

Production Impact: 1-3 years building software that real users depend on (not just internships or side projects)

Technical Foundation: Solid understanding of API design principles, database architecture and schema design, and error handling

Data Expertise: Experience with PostgreSQL/MySQL and performance optimization with key-value stores like Redis

Modern Architecture: Hands-on with event-driven systems, message queues (Kafka/RabbitMQ), or serverless functions

AI Fluency: Working knowledge of LLM integration using both closed and open-source models—you understand prompts and parameters, not just APIs

Frontend Proficiency: Comfort with React hooks, state management solutions (Redux/Zustand), and component libraries that deliver pixel-perfect experiences

Cloud-Native Thinking: Familiarity with containerization, CI/CD pipelines, and infrastructure-as-code approaches (GCP, AWS or Azure)

Ownership Mindset: You don't just build it—you own it, monitor it, and continuously improve and iterate it

Bonus Points

AI Engineering Experience: Built or contributed to RAG pipelines, AI agents, LangGraph implementations, or LlamaIndex applications

AI-Adjacent Projects: Developed chatbots, NLP tools, data pipelines, recommendation systems, or other ML-enhanced applications

Venture Building Spirit: Experience in fast-paced environments where you wear multiple hats and contribute beyond your job description

Why You’ll Enjoy This RoleEngineering Excellence: We prioritize robust, maintainable code over glossy demos; real engineering for real business impact

True Ownership: You won't just be implementing specs; you'll help shape our technical direction and architecture

Remote-First Culture: Work where and when you're most productive, with async-first communication and results-oriented leadership

Velocity Without Chaos: We move quickly but deliberately, with proper planning and sustainable pace

Why Join Mundos

Venture Building DNA: Your code doesn't just ship features; it builds entire businesses that can scale independently

Small team, huge canvas: your code lands in production within days, not quarters.

Global Impact: Work on ventures that span multiple markets, cultures, and business models

Exponential Learning: Exposure to multiple ventures means accelerated growth across domains and technologies

Founder-Level Opportunities: Early team members grow into leadership roles as our ventures mature

Competitive Compensation: USD salary, equity (ESOPs) in our venture ecosystem, flexible remote work, and a clearly defined growth trajectory

Note: This is a contract based opportunity that can be extended to full time hires.

How to ApplySend your resume (required), a thoughtful cover letter (required) and GitHub profile (required) to

Tell us in two sentences about a feature you shipped that made users smile (required).

Incomplete applications will not be considered. We value attention to detail as much as technical skill.

Join us in building the next generation of AI-native ventures—where technical excellence meets entrepreneurial vision to solve meaningful problems at global scale