Nagarro Staff Engineer, (Springboot & Gen AI) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Staff Engineer, (Springboot & Gen AI) Full-time Service Region: South Asia Company Description We're Nagarro We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience: 7+ years Strong expertise in Java development (Java 17 or higher preferred). Strong expertise in Spring Boot 3.x, Spring Data, and Spring Security. Hands-on experience with Spring.AI framework (ChatClient, EmbeddingClient, VectorStore abstractions). Proficiency in SQL Server and experience with SQL/NoSQL databases. Understanding of LLM concepts (tokens, temperature, model architectures). Experience integrating and managing vector stores (Pinecone, Weaviate, pgvector) for document retrieval and similarity searches. Familiarity with Docker, Kubernetes, and CI/CD pipelines for deploying AI-enabled microservices. Knowledge of Retrieval-Augmented Generation (RAG) patterns and secure data access. Ability to collaborate with product teams to refine prompts and manage prompt templates. Good understanding of emerging AI technologies and backend integration. RESPONSIBILITIES: Design and develop AI-powered features using Spring.AI to interact with LLMs. Implement AI-orchestrated workflows and manage embeddings within enterprise applications. Build robust, scalable RESTful APIs using Spring Boot for AI-driven workloads. Integrate backend services with AI providers (OpenAI, Azure AI, Anthropic, etc.). Manage vector databases for efficient document retrieval and similarity searches. Collaborate with cross-functional teams to deliver AI-enabled solutions. Ensure high-quality deliverables, scalability, and adherence to timelines. Qualifications Bachelors or masters degree in computer science, Information Technology, or a related field. Videos To Watch I'm interested I'm interested Imprint I'm interested Refer a friend share this job Share on LinkedIn&mini=true&source=SmartRecruiters&summary=Nagarro%20is%20looking%20for%3A%20Staff%20Engineer%2C%20(Springboot%20%26%20Gen%20AI)%20in%20Remote%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000102006686-staff-engineer-springboot-gen-ai-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000102006686-staff-engineer-springboot-gen-ai-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6 Share on LinkedIn) Share on Facebook Share on Twitter.&via=SmartRecruiters&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000102006686-staff-engineer-springboot-gen-ai-%3Ftrid%3D33221b55-7baa-4189-992e-a7fac0c08950 Share on Twitter) Share via email&body=Nagarro%20is%20looking%20for%3A%20Staff%20Engineer%2C%20(Springboot%20%26%20Gen%20AI)%20in%20Remote%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000102006686-staff-engineer-springboot-gen-ai- Share via email) Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. × Continue Staff Engineer, (Springboot & Gen AI) Remote, India Full-time I'm interested I'm interested

The role requires a total of 7+ years of experience, with strong expertise in Java development, specifically Java 17 or higher. Proficiency is needed in Spring Boot 3.x, Spring Data, and Spring Security, along with hands-on experience in the Spring.AI framework, including ChatClient, EmbeddingClient, and VectorStore abstractions. Candidates must have proficiency in SQL Server and experience with SQL/NoSQL databases, as well as an understanding of LLM concepts. Experience integrating and managing vector stores like Pinecone, Weaviate, or pgvector for document retrieval is essential. Familiarity with Docker, Kubernetes, and CI/CD pipelines for deploying AI-enabled microservices is also required. A bachelor's or master's degree in computer science, Information Technology, or a related field is necessary.