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Full-Stack Software Engineer
3 hours ago
StartupFuel is a venture intelligence company that has built DiligenceGPT™, an AI-powered platform used by venture capital and private market investors to streamline deal flow management, and due diligence, enabling faster, more consistent, and better-informed investment decisions across early and growth-stage companies.StartupFuel is hiring a Full-Stack Software Engineer to build and scale the SaaS platform behind DiligenceGPT™.This role focuses on the product, platform, and infrastructure layer that powers AI-driven workflows. You will build the systems that allow investors to securely interact with AI outputs, documents, and data.You will work closely with AI engineers to integrate agent outputs into dashboards, workflows, and enterprise-grade features. The emphasis is on clean architecture, performance, and reliability.Key responsibilities include:Build and maintain full-stack features using the MERN stack (MongoDB, Express, React, Node.js)Tailwind CSS for designDesign and implement REST APIs and backend servicesWork with RabbitMQ (RMQ) for asynchronous processing, background jobs, and event-driven workflowsDesign efficient MongoDB schemas, indexes, and data modelsHandle authentication, authorization, and secure API accessWrite clean, maintainable, and scalable codeDebug production issues and optimize performanceCollaborate on system design, architecture, and technical decisionsParticipate in code reviews and follow best engineering practicesRequirementsRequired SkillsHands-on experience with Node.js & ExpressSolid knowledge of React (hooks, state management, component architecture)Experience working with MongoDB (schema design, aggregation, indexing)Practical experience with RabbitMQ (RMQ) or similar message queuesUnderstanding of async programming, promises, and event-driven systemsFamiliarity with REST APIs, controllers, DTO-like structures, and validationExperience using Git & GitHub in a team environmentGood to HaveExperience with Docker and basic deployment workflowsKnowledge of Redis for cachingFamiliarity with SaaS concepts: multi-tenancy, roles, permissionsExperience working in early-stage startupsUnderstanding of basic system design and scalability conceptsClose collaboration with AI engineers shipping LLM featuresExposure to enterprise customers and investor workflowsClear growth path with increasing technical ownershipCompetitive compensationCollaborative, high-ownership culture working with global talent and hands-on, visionary leadership #J-18808-Ljbffr
