Senior Java developer - AI/LLM

Navlakha Management Services; Thiruvananthapuram; Hybrid; INR 2,500,000 - 3,800,000; Full time

Job summary

Navlakha Management Services in Kerala is seeking a Senior Developer to design, develop, and maintain scalable backend applications using Java, Spring Boot, and Kafka, with NoSQL data stores and AI/ML features.

You will integrate LLM APIs, build AI-powered microservices, and ensure robust performance, security, and reliability across distributed systems. This role demands hands-on expertise and a passion for cutting-edge AI capabilities.

Qualifications

• 5+ years of hands-on Java development experience.
• Proficiency with Java 8/11/17, Spring Boot, and RESTful services.
• Experience with Kafka messaging and NoSQL databases.
• Experience integrating LLM APIs in production Java apps.

Responsibilities

• Design, develop, and enhance backend services and APIs using Java and Spring Boot.
• Work with MongoDB or other NoSQL databases to design efficient data models and optimize queries.
• Integrate LLMs via REST APIs and SDKs into backend services.
• Build and maintain AI-powered microservices including RAG pipelines and semantic search.
• Develop and expose AI agent workflows using LangChain4j, Spring AI, or similar toolkits.
• Implement prompt engineering, context management, and output validation for LLMs.
• Design vector DB integrations (Pinecone, Weaviate, pgvector) for embeddings.
• Participate in code reviews, refactoring, and performance optimisation.
• Troubleshoot production issues and provide long-term fixes.

Skills

5+ years Java development

Java 8/11/17, Spring Boot, REST

Kafka messaging

NoSQL databases

LLM APIs integration in Java

LangChain4j / Spring AI familiarity

Tools

MongoDB

Kafka

Pinecone/Weaviate/pgvector

OpenAI / Claude / Gemini APIs

LangChain4j

Spring AI

Job description

We are seeking a highly skilled Senior Developer with strong hands-on experience in Java, Spring Boot, Kafka, and NoSQL databases now expanded to include AI/ML engineering capabilities. The ideal candidate will design, develop, and maintain high-performance, scalable applications while integrating AI-powered features

KEY RESPONSIBILITIES

• Design, develop, and enhance backend services and APIs using Java and Spring Boot.
• 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.
• Develop and expose AI agent workflows using frameworks such as LangChain4j, Spring AI, or similar Java-native AI toolkits.
• Implement prompt engineering strategies, context management, and output validation layers for LLM interactions.
• Design vector database integrations (Pinecone, Weaviate, pgvector) for embedding storage and similarity search.
• Participate in code reviews, refactoring efforts, and optimisation of system performance.
• Troubleshoot production issues and provide root cause analysis and long -term fixes.

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.
• 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.