Job Title

Senior AI Backend EngineerLocation:Remote (Brasilia Time UTC-3 or Dubai Time GMT+3 preferred) |Team:Tech team for Product Engineering|Reports to: Founding AI Engineer Seniority:3 – 5 yrs production experience |Stack:Python / TypeScript / React + LLMsAbout Us - Reimagining Venture Building with AI at the CoreWe'reMundos , 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 anAI-powered engineering team .‍ What You’ll Build●Architect & Build:Create robust RESTful/GraphQL APIs that power both internal tools and customer-facing applications in our venture portfolio ●AI System Architecture:Design and implement scalable AI service architectures, including distributed inference systems, model serving layers, and intelligent caching strategies for LLM workloads ●AI Integration:Implement and optimize RAG pipelines, vector DB integrations, PostgreSQL, Redis, external APIs and LLM orchestration layers that deliver intelligence, not just responses ●System Design Leadership:Collaborate on high-level system architecture decisions, weighing trade-offs between performance, scalability, and cost for AI-powered applications ●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, Kubernetes, and cloud infrastructure (AWS/GCP), with emphasis on scalable AI service deploymentsYour Toolkit ●Production Impact:3-5 years building software that real users depend on (not just internships or side projects) ●AI Systems Experience:Demonstrated experience architecting and deploying AI services at scale, including model serving, inference optimization, and handling high-throughput AI workloads in production ●System Design Proficiency:Strong system design capabilities with ability to architect distributed systems, design for scalability, and make informed trade-offs between performance, cost, and complexity ●Technical Foundation:Solid understanding of API design principles, database architecture and schema design, and error handling patterns for AI applications ●Data Expertise:Experience with PostgreSQL/MySQL and performance optimization with key-value stores like Redis, particularly for AI workload caching strategies ●Modern Architecture:Hands-on with event-driven systems, message queues (Kafka/RabbitMQ), or serverless functions for AI pipeline orchestration ●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 & DevOps:Familiarity with containerization, Kubernetes experience preferred, 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 itBonus Points ●AI Engineering Experience:Built or contributed to RAG pipelines, AI agents, LangGraph implementations, or LlamaIndex applications ●Advanced DevOps:Experience with Kubernetes cluster management, Helm charts, service mesh architectures, or GitOps workflows ●AI-Adjacent Projects:Developed chatbots, NLP tools, data pipelines, recommendation systems, or other ML-enhanced applications ●Performance Optimization:Experience with AI model optimization, batch processing, or real-time inference at scale ●Venture Building Spirit:Experience in fast-paced environments where you wear multiple hats and contribute beyond your job descriptionWhy You’ll Enjoy This Role●Engineering 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 paceWhy 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 trajectoryHow to Apply Send the following information :Résumé, GitHub (or equivalent), and a short cover letter Inthree sentences , describe a system you architected and shipped to production that scaled an order of magnitude without downtime. Include one link (PR, blog post, design doc excerpt, or talk) that showcases your system-design thinking. (People from an OSS background like repository maintainers will be our first preference)Incomplete submissions won’t be reviewed —attention to detail is part of the job.Join Mundos to engineer the AI-native ventures that tomorrow’s economy will run on. Let’s build what’s next—today.