Senior AI Full Stack Engineer

Job Description – Senior AI Full Stack Engineer Experience: 8+ Years Location: Remote Employment: Haparz Payroll Budget: Up to 24 LPA Role Overview We are looking for an experienced Senior Full Stack Engineer to building a next-generation Agent Development Platform (ADP). This role requires expertise across frontend and backend development, enabling seamless integration between AI-powered applications, platform services, and enterprise-grade administrative interfaces. You will build scalable React applications, high-performance backend APIs, AI gateway services, and secure multi-tenant platform capabilities while working closely with AI, DevOps, and Product Engineering teams. Key Responsibilities Design, develop, and maintain scalable full-stack applications using React and modern backend technologies. Build and enhance the Platform Control Plane and AI Gateway for LLM routing, telemetry, and tenant-level cost management. Develop React-based Admin Console features for tenant configuration, security policies, licensing, and budget management. Implement FastAPI backend services with secure CRUD operations and multi-tenant data isolation. Design and develop RESTful APIs using Python (FastAPI), Java Spring Boot, or Node.js. Collaborate on Python and TypeScript SDK development for AI agent integration. Build conversational interfaces and administrative dashboards for AI agent interactions. Convert platform configurations into YAML-based runtime definitions for AI agents. Implement secure authentication, authorization, SSO, and RBAC using WorkOS. Ensure secure execution environments using Firecracker MicroVMs, Docker, or Kubernetes. Collaborate with DevSecOps teams on deployment automation, scalability, and platform reliability. Required Skills Strong experience in React and modern frontend architecture. Hands-on experience with FastAPI (Python). Strong backend expertise in Java Spring Boot and/or Node.js. Experience designing scalable RESTful APIs. Platform Control Plane and AI Gateway development experience. Strong understanding of YAML configuration management. Experience with PostgreSQL and multi-tenant application architecture. Knowledge of secure authentication, OAuth 2.0, WorkOS, and RBAC. Experience with Docker, Kubernetes, and containerized deployments. Familiarity with AI integration patterns and enterprise platform development. Preferred Skills Langfuse or LangSmith for AI observability. ChromaDB, GraphDB, or other vector database integrations. Firecracker MicroVMs for secure runtime isolation. Temporal Workflow Orchestration. Figma-based Design System implementation. Experience building AI agent interaction interfaces such as review queues and confidence scoring dashboards. Skills:- React.js, FastAPI, Java, Spring Boot and Agent Development Platform