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Java+AI Developer

Exclusive opportunity

Hybrid

Java+AI Developer

Bounteous

Java+AI Developer

Skills

SQL QueriesJavaMicroservicesSpring BootKafkaRabbitMQAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

1 September 2026

What they need


Location - Bangalore

We are looking for an experienced Java + Generative AI Engineer with strong expertise in backend application development, scalable architecture design, and AI-powered solution development. The ideal candidate should have hands-on experience building enterprise-grade Java applications while leveraging LLMs, RAG architectures, agentic workflows, and AI orchestration frameworks to solve complex business problems.

Required Experience

  • 6 to 9 years of software development experience
  • Strong hands-on coding experience in Java-based enterprise applications
  • Experience designing scalable, distributed, and cloud-native systems
  • Practical experience with Generative AI and LLM-powered applications

Core Java Skills

  • Strong knowledge of Java fundamentals (Collections, Streams, Concurrency, JVM)
  • Expertise in Object-Oriented Programming (OOP) and Design Patterns
  • Experience with Spring Boot, Spring MVC, Spring Security, Microservices
  • REST API design and development
  • Multithreading and performance optimization
  • Strong understanding of application architecture and backend system design
  • Experience with messaging systems such as Kafka/RabbitMQ
  • Knowledge of database design and optimization (SQL/NoSQL)

Key Responsibilities

  • Develop scalable Java backend applications and microservices
  • Design enterprise application architecture and backend systems
  • Build and optimize RAG-based solutions
  • Implement agentic AI workflows and intelligent automation
  • Integrate enterprise applications with LLMs and AI services
  • Evaluate and improve AI solution performance, accuracy, and scalability
  • Collaborate with business and engineering teams to deliver AI-driven operational solutions
  • Drive best practices for software engineering, architecture, and AI application development

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