Architect - Java & Agentic AI

vibehackers; Chennai District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

vibehackers is seeking a Lead Java Backend & Agentic AI Architect to design and implement an Agent-to-Agent orchestration backend powering conversational interfaces. You will route prompts to specialized agents, manage multi-agent workflows, and integrate with legacy automation.

The role requires deep enterprise Java backend expertise, Spring Boot/Spring Cloud, microservices, and GenAI/agent frameworks, along with real-time APIs (REST/gRPC/WebSockets) and containerized cloud deployments.

Qualifications

• Extensive enterprise Java backend experience (Core Java) with Spring Boot/Spring Cloud.
• Microservices architecture & asynchronous/event-driven designs (Kafka/RabbitMQ).
• Experience with LLMs, prompt engineering, and building autonomous agent workflows; familiarity with Java-based agent frameworks.

Responsibilities

• Architect secure, scalable, low-latency A2A orchestration patterns.
• Develop dynamic routing logic to interpret user intent and dispatch tasks to agents.
• Integrate GenAI and agentic frameworks to connect LLMs and external tools.
• Guide and mentor the development team, produce architectural blueprints, conduct code reviews, ensure security/compliance.

Skills

Core Java

Spring Boot

Spring Cloud

Microservices

Kafka

RabbitMQ

LLMs

Agent frameworks

REST APIs

gRPC

WebSockets

Docker

Kubernetes

AWS

GCP

Azure

CI/CD

Tools

LangChain4j

Job description

Building AI dev tools and agentic systems with LLMs; uses Java-based agent frameworks like LangChain4j for rapid agent orchestration.

About the Role

Lead the design and development of a scalable Java-based Agent-to-Agent orchestration platform that dynamically routes user prompts to specialized AI agents and integrates legacy automation. The role combines deep enterprise Java backend expertise with agentic/GenAI system architecture and technical leadership.

Job Description

Role

We are hiring a Lead Java Backend & Agentic AI Architect to design and implement an Agent-to-Agent (A2A) orchestration backend that powers conversational interfaces by routing prompts to specialized AI agents, managing multi-agent workflows, and integrating with legacy automation.

Key Responsibilities

• Architect and implement secure, scalable, low-latency A2A communication and orchestration patterns.
• Develop dynamic, prompt-driven routing logic to interpret user intent and dispatch tasks to appropriate agents.
• Integrate GenAI and agentic frameworks to connect LLMs and external tools, including custom orchestration layers.
• Guide and mentor the development team, produce architectural blueprints, conduct code reviews, and enforce security, compliance, and scalability standards.

Requirements

• Extensive enterprise Java backend experience (Core Java) with strong knowledge of Spring Boot and Spring Cloud.
• Proven background in microservices architecture and asynchronous/event-driven design using technologies such as Kafka or RabbitMQ.
• Experience with Large Language Models (LLMs), prompt engineering, and building autonomous agent workflows; familiarity with Java-based agent frameworks is highly preferred.
• Deep knowledge of API and integration patterns including RESTful APIs, gRPC, and WebSockets for real-time communication.
• Proficiency with containerization and orchestration tools (Docker, Kubernetes), cloud platforms (AWS, GCP, Azure), and CI/CD pipelines.

Notes

• The description emphasizes senior technical leadership and deep enterprise/backend expertise combined with agentic AI and GenAI experience.

Skills

System Architecture Backend Architecture Microservices Asynchronous/Event-driven Design Prompt Engineering Agentic AI API Design Enterprise Application Integration Cloud & DevOps Security & Compliance Scalability Technical Leadership Code Reviews Team Leadership Real-time Systems