MeshDefend is an early-stage VC-funded startup building an AI-Native Agentic Operating System for Enterprise Data Infrastructure. We are creating AI agents to make data infrastructure intelligent, autonomous, and secure. Our founding team consists of seasoned technologists and inventors with a track record of building global product portfolios valued in the billions. Here, you won't just follow a blueprint—you'll take the wheel and help define both product and architecture from the ground up.
We are looking for a Full Stack Engineer who thrives in high-ownership environments and can build across the stack—from intuitive user interfaces to scalable backend systems—while integrating AI into core product workflows.

Partner with UX designers to refine and enhance user experiences for complex, data-driven workflows
Design, develop, and deploy features across frontend, backend, and data layers
Build responsive, high-performance user interfaces and robust backend service
Develop APIs, services, and integrations for real-time, data-intensive applications
Integrate AI capabilities such as LLMs, RAG pipelines, and agent-based workflows into the product
Follow Shift Left Testing practices, including unit, integration, and system testing
Contribute to CI/CD pipelines, DevOps and DevSecOps practices to ensure reliable releases
Monitor, debug, and optimize system performance, reliability, and scalability
Participate in code reviews and maintain high standards of engineering quality
3–6 years of hands-on experience as a full stack engineer

Strong programming skills in JavaScript/TypeScript, Python
Frontend experience with React, https://jobeax.com/link/Z30sZYC3jcRenVso, or Angular
Backend experience building APIs and services using https://jobeax.com/link/JSd7UYCSg572jJDY, Python (FastAPI/Django)
Solid understanding of web architecture, state management, and performance optimization
Experience with relational databases such as PostgreSQL or MySQL; familiarity with search or vector databases is a plus
Exposure to AI/ML concepts such as LLMs, RAG, or prompt engineering is preferred
Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)
Familiarity with CI/CD pipelines and modern DevOps practices
Strong fundamentals in system design, networking, and security

Build AI-native systems at the intersection of infrastructure and intelligent automation
Be part of a fast-moving team focused on innovation, quality, and execution

FullStack Developer - DevOps - AWS

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