Senior Java Developer - Spring Boot Framework

Role : Senior Java Spring Boot AI Developer

Position : Senior Software Engineer Java, Spring Boot & AI Development

Experience : 5 - 7 Years

Location : Gurgaon

Work Mode : Hybrid

Department : Engineering / Product Development

Role Overview :

We are looking for a hands-on Senior Java Developer with strong expertise in Spring Boot and practical experience building AI-powered features/applications.

The ideal candidate has a solid backend engineering foundation combined with real-world exposure to integrating AI/ML models, LLMs, or GenAI capabilities into production systems not just theoretical AI knowledge.

Key Responsibilities :

1. Backend Development :

• Design, develop, and maintain scalable backend services using Java and Spring Boot.
• Build and consume RESTful APIs and microservices.
• Optimize application performance, scalability, and reliability.
• Write clean, maintainable, well-tested code following best practices.

2. AI Development & Integration :

• Design and integrate AI/ML models or LLM-based features into backend applications.
• Work with GenAI tools/frameworks (OpenAI API, LangChain/LangChain4j, Spring AI, Vector Databases, etc.).
• Build RAG (Retrieval-Augmented Generation) pipelines, embeddings, and prompt-engineering solutions where applicable.
• Collaborate with data science/ML teams to productionize AI models via Java-based services.
• Evaluate and implement AI use cases (chatbots, recommendation engines, intelligent automation, document processing, etc.).

3. System Design & Architecture :

• Participate in architecture discussions for scalable, secure, and AI-integrated systems.
• Design database schemas (SQL/NoSQL) supporting both transactional and AI-driven workloads.
• Ensure API design supports low-latency AI model inference calls.

4. DevOps & Collaboration :

• Work with CI/CD pipelines for smooth deployment of Java AI services.
• Collaborate with cross-functional teams (Product, QA, DevOps, Data Science).
• Participate in code reviews, design reviews, and mentoring junior developers.

5. Quality & Best Practices :

• Write unit/integration tests; ensure code quality and coverage.
• Follow secure coding practices, especially around data handling for AI models.
• Document architecture, APIs, and AI integration workflows.

Required Skills :

• 5 to 7 years of hands-on experience in Java and Spring Boot.
• Strong understanding of Microservices architecture, REST APIs.
• Practical experience integrating AI/ML models or LLMs into applications (not just academic knowledge).
• Hands-on exposure to GenAI tools/APIs OpenAI, Azure OpenAI, Hugging Face, LangChain/LangChain4j, or Spring AI.
• Experience with Vector Databases (Pinecone, Weaviate, Milvus, pgVector, etc.) is a plus.
• Good understanding of SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with Docker/Kubernetes, CI/CD pipelines.
• Strong problem-solving and debugging skills.
• Experience with cloud platforms (AWS/Azure/GCP) preferred.

Preferred Skills :

• Experience building or integrating chatbots, copilots, or intelligent document processing systems.
• Exposure to Python (for AI/ML tooling interoperability) is a plus.
• Understanding of prompt engineering and LLM fine-tuning basics.
• Prior experience in a product-based company or fast-paced startup environment.