Senior Java AI Developer

VME Vhire Solutions; Thiruvananthapuram; On-site; INR 1,200,000 - 1,700,000; Full time

Job summary

VME Vhire Solutions in Thiruvananthapuram seeks a senior backend engineer to design, implement, and enhance Java-based microservices and RESTful APIs. You will work with Spring Boot, Kafka, and NoSQL databases while integrating LLMs via REST/SDKs.

You will build AI-powered services, including RAG pipelines and semantic search, and participate in CI/CD, deployments, and MLOps tooling. Strong debugging and distributed-systems skills are required.

Qualifications

• 5+ years of hands-on development experience in Java-based applications.
• Strong 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.

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 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.

Skills

Java

Spring Framework

Spring Boot

RESTful services

Kafka

MongoDB

Microservices

LLM APIs

Spring AI / LangChain4j

Prompt engineering

Embedding models

Git

Maven/Gradle

Jenkins

Docker

Kubernetes

Tools

Git

Maven/Gradle

Jenkins

Docker

Kubernetes

Job description

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.
• Strong 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.