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