Candidate Requirements :

- Spring AI / LangChain4j
- LLM integration with Java applications
- Agentic workflows ReAct, Plan-and-Execute, tool/function calling
- RAG, embeddings and Vector Databases
- Prompt engineering and AI guardrails
- Robust experience in enterprise Java/Spring Boot microservices and full-stack development
- Experience with application modernization, cloud migration and production support

Key Responsibilities :

- Architect and maintain scalable microservices using Java to ensure high availability and performance for enterprise applications.
- Design and implement RESTful APIs that facilitate seamless communication between complex distributed systems.




- Integrate Generative AI and Agentic AI frameworks into backend services to automate decision-making processes and enhance user experience.
- Manage message streaming and data pipelines using Kafka to ensure low-latency data processing across the platform.
- Orchestrate containerized applications using Docker and Kubernetes to maintain consistent deployment environments.
- Establish and optimize CI/CD pipelines on GCP to accelerate release cycles and improve code quality.
- Collaborate with stakeholders to translate business requirements into technical specifications that drive product evolution.

📌 Shreemax Global - Software Development Engineer - Backend Technologies (India)
🏢 Shreemax Global
📍 India