Design and build production-grade AI features and REST APIs using Spring AI and Spring Boot. Implement RAG and vector search, integrate LLM providers, manage vector stores, ensure security with Spring Security, and deploy scalable microservices with Docker, Kubernetes, and CI/CD.
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 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job DescriptionREQUIREMENTS:
- 6+ years of Java development experience (Java 17+ preferred).
- Strong experience with Spring Boot 3.x, Spring Data, and Spring Security.
- Hands-on experience with the Spring AI project (ChatClient, EmbeddingClient, VectorStore).
- Strong understanding of LLM concepts: tokens, temperature, model architectures.
- Experience implementing RAG and working with vector databases.
- Experience with vector stores like Pinecone, Weaviate, pgvector, etc.
- Experience with SQL/NoSQL databases and integrating them into enterprise apps.
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
- Experience integrating AI providers (OpenAI, Azure AI, Anthropic) into enterprise systems.
- Strong problem-solving and architectural skills for production-grade AI solutions.
RESPONSIBILITIES:
- Design and develop AI-powered features using the Spring AI framework to interact with LLMs.
- Implement AI orchestration workflows using Spring AI components (ChatClient, EmbeddingClient, VectorStore).
- Build and maintain RAG (Retrieval-Augmented Generation) solutions for secure access to proprietary data.
- Integrate backend services with AI providers such as OpenAI, Azure AI, Anthropic, etc.
- Manage and optimize vector stores (Pinecone, Weaviate, pgvector) for semantic search and document retrieval.
- Build scalable RESTful APIs using Spring Boot 3.x for AI-driven workloads.
- Collaborate with product teams to refine prompts and manage prompt templates.
- Ensure secure, production-grade implementation using Spring Security.
- Deploy AI-enabled microservices using Docker, Kubernetes, and CI/CD pipelines.
- Ensure performance, scalability, and reliability of AI-powered enterprise applications.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Top Skills
Java 17,Spring Boot 3.X,Spring Data,Spring Security,Spring Ai,Chatclient,Embeddingclient,Vectorstore,Pinecone,Weaviate,Pgvector,Sql,Nosql,Docker,Kubernetes,Ci/Cd,Openai,Azure Ai,Anthropic,Restful Apis,Rag
Nagarro Gurugram, Haryana, IND Office
13, Sub. Major Laxmi Chand Rd, Maruti Udyog, Sector 18, Gurugram, Haryana, India, 122015
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Architect and build large-scale, high-performance distributed data platform components and ingestion pipelines. Lead complex technical initiatives, design reusable libraries, troubleshoot production issues, and collaborate across teams to deliver scalable, reliable Data Lake and streaming solutions.
Top Skills:
Java,Jvm,Kubernetes,Apache Kafka,Kafka Connect,Apache Flink,Apache Spark,Apache Iceberg,Parquet,Orc,Avro,Oracle,Mysql,Postgresql
Information Technology • Software • Consulting
Lead architecture and hands-on development of scalable backend and distributed systems. Embed AI-first practices, build production-grade Java/Spring services, ensure reliability, observability, security, and CI/CD, and participate in on-call rotations while collaborating with product and engineering stakeholders.
Top Skills:
Java,Spring,Spring Boot,Github Copilot,Cursor,Windsurf,Genai,Llms,Model Context Protocol (Mcp),Restful Apis,Mongodb,Elasticsearch,Aws,Docker,Kubernetes,Maven,Npm,Jenkins,Gitlab Ci/Cd,Github,Javascript,React
Mobile • Software
Develop and maintain Java-based services, lead platform modernization, collaborate with UX and DevOps, ensure observability and stability.
Top Skills:
AzureCi/CdDevOpsFunction AppsInfrastructure-As-CodeJavaLogic AppsReactSharepoint
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
