Architect - Java & Agentic AI

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.

Technologies Mentioned

Core Java, Spring Boot, Spring Cloud, Kafka, RabbitMQ, LangChain, LangGraph, LangChain4j, LLMs, REST, gRPC, WebSockets, Docker, Kubernetes, AWS, GCP, Azure, CI/CD, MCPs.

Notes

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