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Senior Java developer - AI/LLM

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Hybrid

Senior Java developer - AI/LLM

Navlakha Management Services

Senior Java developer - AI/LLM

Skills

MongoDBJavaMicroservicesSpring BootKafkaAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Thiruvananthapuram, Kerala, India

Work mode:

Hybrid

Published on:

19 August 2026

What they need


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.

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