Lead Full Stack Engineer (Multi Agent Systems)
Core
Design and build production-grade Agentic AI and multi-agent systems, spanning frontend, backend, AI orchestration, and cloud infrastructure.
Role type
Lead Full Stack Engineer (Agentic AI)
Builds
AI-native applications with agentic workflows, traditional ML, and rules-based systems
Domain
AI Engineering, Cloud Infrastructure, Enterprise Software
Deliverable
production ML models
Required skills
Full stack engineering, Agentic AI system design, React/Next.js, Node.js, Java (Spring Boot/Kotlin), Agent frameworks (LangChain/LangGraph/AutoGen), BFF patterns, Cloud platforms (AWS/Azure/GCP), CI/CD, Docker, Kubernetes
Preferred skills
System design, Technical mentorship, API gateway configuration
Technologies
React, Next.js, TypeScript, Node.js, Java, Spring Boot, Kotlin, GraphQL, tRPC, LangChain, LangGraph, AutoGen, MAF, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Architect full-stack applications, Develop multi-agent AI systems, Build scalable frontend applications, Design backend services, Architect integrations between frontend, backend, AI services, and enterprise systems, Lead system design discussions and translate business requirements into technical architectures, Mentor engineers and contribute to technical roadmap planning
Seniority
Senior, hands-on IC with leadership responsibilities