Blackstraw Technologies
Architect - Java & Agentic AI
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Onsite
Published on:
23 September 2026
What they need
**Job Overview**
We are seeking a highly skilled and visionary Lead Java Backend & Agentic AI Architect to drive the design and development of our next-generation AI orchestration platform. In this role, you will architect a sophisticated Agent-to-Agent (A2A) communication hub. This backend system will power a conversational interface (similar to ChatGPT/Claude) by dynamically routing user prompts to specialized AI agents, managing multi-agent workflows, and integrating legacy automation systems. If you have deep expertise in Java enterprise systems and a passion for cutting-edge Agentic AI, GenAI, and intelligent automation, we want you on our team.
**Key Responsibilities**
- **Architect A2A Orchestration:** Design and implement the backend architecture for Agent-to-Agent (A2A) communication, establishing secure, scalable, and low-latency interaction patterns between autonomous agents.
- **Develop Dynamic Routing Logic:** Build robust, prompt-driven routing mechanisms in the backend to interpret user intent and intelligently dispatch tasks to the appropriate specialized AI agents.
- **Integrate GenAI & Agentic Frameworks:** Implement Agentic AI patterns using frameworks suitable for Java (e.g., LangChain, LangGraph, custom orchestration layers) to connect with LLMs and external tools using MCPs.
- **Technical Leadership:** Guide the development team, establish architectural blueprints, conduct code reviews, and ensure the platform adheres to strict security, compliance, and scalability standards.
**Required Technical Skills**
- **Java & Backend Architecture:** 18+ years of expert-level experience in Core Java, Spring Boot, Spring Cloud, microservices architecture, and asynchronous event-driven design (Kafka, RabbitMQ).
- **Agentic AI & GenAI:** Proven experience working with Large Language Models (LLMs), prompt engineering, and building autonomous agent workflows. Familiarity with Java-based AI frameworks like LangChain4j is highly preferred.
- **API & Integration:** Deep understanding of RESTful APIs, gRPC, WebSockets (for real-time chatbot communication), and secure enterprise application integration (EAI) patterns.
- **Cloud & DevOps:** Proficiency with Docker, Kubernetes, cloud platforms (AWS/GCP/Azure), and CI/CD pipelines.
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