We are looking for an Agentic Java Engineer (5+ Years) to design and build high-throughput distributed systems integrated with autonomous AI capabilities. You will bridge the gap between robust enterprise Java backend systems and modern Agentic AI workflows, splitting your time between backend development and AI orchestration.Key Responsibilities
- Backend Development: Build high-performance, scalable microservices using Java 17/21+ and Spring Boot 3.x.
- AI Agent Orchestration: Design autonomous AI agents, task decomposition workflows, and tool-use capabilities.
- Data & Messaging: Implement asynchronous workflows using Kafka/RabbitMQ and work with SQL/NoSQL databases.
- AI Pipelines: Build Java-based RAG (Retrieval-Augmented Generation) pipelines and integrate with Vector Databases.
- System Optimization: Ensure low-latency API layers, effective memory management, and robust system security.
Required Technical Skills
- Experience: 5+ years of professional software engineering with strong, continuous Java development.
- Java & Spring: Deep knowledge of Core Java, multithreading, Spring Boot, and Spring Security.
- Agentic AI Frameworks: Hands-on experience with LangChain4j, Semantic Kernel, or similar Java-AI frameworks.
- LLM Integration: Experience connecting Java backends with LLMs (OpenAI, Anthropic, or Llama).
- Vector Databases: Working knowledge of pgvector, Pinecone, or Milvus.
- Cloud & DevOps: Experience with Docker, Kubernetes, and AWS/Azure/GCP.