AI/GenAI/ML (Java Backend)

• We are looking for an experienced Java Developer with AI/GenAI expertise to design, develop, and integrate scalable enterprise applications with modern AI capabilities.
• The ideal candidate will have strong hands-on experience in Java/Spring Boot and practical knowledge of Generative AI, LLMs, APIs, and AI-powered application development., * Design, develop, test, and maintain scalable applications using Java, Spring Boot, and REST APIs.
• Build microservices and integrate them with enterprise applications and cloud platforms.
• Develop and integrate Generative AI/LLM capabilities into Java applications.
• Work with LLM APIs such as OpenAI, Azure OpenAI, or other enterprise AI platforms.
• Develop AI-powered features such as chatbots, document processing, summarization, classification, and intelligent search.
• Implement RAG (Retrieval-Augmented Generation) solutions using vector databases.
• Work with embeddings, prompt engineering, AI agents, and LLM orchestration frameworks.
• Integrate AI services securely through REST APIs and SDKs.
• Develop backend services for AI/ML applications and optimize performance and scalability.
• Collaborate with product managers, architects, data scientists, and frontend developers.
• Write clean, maintainable, well-tested code and participate in code reviews.
• Troubleshoot production issues and continuously improve application reliability.

• Java / Backend
• Strong proficiency in Java 8/11/17+.
• Strong experience with Spring Boot, Spring Framework, REST APIs, and Microservices.
• Experience with Hibernate/JPA and SQL databases.
• Knowledge of design patterns, OOP, data structures, and multithreading.
• Experience with Git and CI/CD pipelines.
• AI / GenAI
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience integrating LLM APIs such as OpenAI/Azure OpenAI, Anthropic, or Google Gemini.
• Knowledge of Prompt Engineering, Embeddings, Vector Databases, and RAG.
• Experience with vector databases such as Pinecone, FAISS, Weaviate, or Milvus is a plus.
• Familiarity with AI frameworks such as LangChain, LangGraph, Spring AI, or LlamaIndex.
• Understanding of AI agents, tool/function calling, and evaluation/monitoring is desirable.
• Basic understanding of Python and AI/ML concepts is an advantage.
• Cloud & DevOps
• Experience with AWS, Azure, or GCP.
• Knowledge of Docker and Kubernetes.
• Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Understanding of cloud-native architecture and security best practices.

Preferred Qualifications

• Experience building enterprise-grade AI-powered applications.
• Knowledge of MCP, AI agents, function calling, and LLM observability.
• Experience with Kafka or other messaging systems.
• Knowledge of NoSQL databases such as MongoDB or Redis.
• Strong problem-solving and communication skills.