KEY RESPONSIBILITIES

- Design, develop, and enhance backend services and APIs using Java and Spring Boot.
- Build high-throughput and resilient event-driven components using Kafka.
- Work with MongoDB or other NoSQL databases to design efficient data models and optimize queries.
- Integrate Large Language Models (LLMs) such as OpenAI, Claude, or Gemini into backend services via REST APIs and SDKs.
- Build and maintain AI-powered microservices including RAG (Retrieval-Augmented Generation) pipelines, semantic search, and document intelligence features.
- Support CI/CD pipeline integration, model deployment automation, and MLOps tooling.
- Contribute to documentation, technical specifications, and architectural diagrams.

REQUIRED SKILLS & QUALIFICATIONS

- 5+ years of hands-on development experience in Java-based applications.
- Solid expertise in Java (8/11/17), Spring Framework, Spring Boot, and RESTful services.
- Experience with Kafka for messaging, streaming,



or event-driven architecture.
- Practical knowledge of MongoDB or other NoSQL databases (e.g., Cassandra, DynamoDB, Couchbase).
- Solid understanding of microservices architecture and distributed systems.
- Hands-on experience consuming LLM APIs (OpenAI GPT-4o, Anthropic Claude, Google Gemini) in production Java applications.
- Familiarity with Spring AI or LangChain4j for building LLM-backed services in Java ecosystems.
- Experience with prompt engineering crafting, versioning, and testing prompts for accuracy, safety, and cost efficiency.
- Knowledge of embedding models and vector stores for semantic search and RAG pipelines.
- Strong debugging, analytical, and problem-solving skills. • Experience with Git, Maven/Gradle, Jenkins, Docker, or Kubernetes is a plus.

📌 Senior Java AI Developer (Thiruvananthapuram)
🏢 Vme Vhire Solutions
📍 Thiruvananthapuram