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Urgent! Sr. Java Developer With Genai Integration (Java, Llm, Rag) - Immediate Joiners Job Opening In Rajkot – Now Hiring Grid Dynamics

Sr. Java Developer With Genai Integration (Java, Llm, Rag) Immediate Joiners



Job description

Role Overview:


We are looking for a skilled Senior Java Backend Engineer to join our team focused on building scalable and high-performance backend systems for Generative AI applications.

You’ll play a key role in designing APIs, orchestrating AI agents, and integrating Large Language Models (LLMs) into production-ready systems.

This role is ideal for backend developers with a passion for modern AI technologies and distributed systems.


Key Responsibilities:

  • Design, build, and maintain scalable backend services using Java and the Spring Boot framework
  • Develop APIs to enable LLM integration and support AI agent orchestration workflows
  • Architect microservices to power RAG (Retrieval-Augmented Generation) and other LLM-driven systems
  • Optimize performance through efficient caching strategies and vector database interactions
  • Integrate and manage connections with multiple LLM providers (e.G., OpenAI, Gemini, Claude), including rate limiting and failover handling
  • Implement real-time streaming features for conversational AI systems using WebSockets or similar technologies
  • Ensure robust system observability with logging, monitoring, and tracing


Required Skills & Qualifications:

3–7 years total, with a minimum of 1 year working on Generative AI projects


Backend Development:

  • Minimum 3 years of hands-on experience with Java and Spring Boot
  • Strong grasp of RESTful API design principles and microservices architecture
  • Proficiency with core Spring modules: Spring Security, Spring Data JPA, Spring Cloud
  • Experience working with relational and NoSQL databases: PostgreSQL, MongoDB, Redis
  • Familiarity with message brokers such as RabbitMQ or Apache Kafka
  • Expertise in caching mechanisms and system performance tuning


Generative AI Integration:

  • Experience integrating LLM APIs (OpenAI, Gemini, Claude, etc.) into backend services
  • Knowledge of vector databases and semantic search technologies
  • Familiarity with AI agent orchestration frameworks (e.G., LangGraph)
  • Understanding of RAG systems and how to implement them effectively
  • Experience developing streaming responses using WebSockets or server-sent events
  • Working knowledge of prompt templating and management systems


Nice to Have:

  • Experience in fine-tuning LLMs and managing model deployment pipelines
  • Knowledge of self-hosted LLM environments and infrastructure management
  • Exposure to observability tools like LangSmith or custom monitoring setups
  • Familiarity with natural language to SQL systems or BI applications powered by LLMs


Note: If you are matching on to the above job description & skills, please feel free to fill in your details on the below Form enclosed (https://forms.Gle/bUyXMBhgSxxBZVeK9).


Required Skill Profession

Computer Occupations



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