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AI Developer (Java / Spring Boot & AI Agents) About the Role We are seeking a talented and forward-thinking AI Developer with a strong foundation in Java and Spring Boot to join our engineering team. In this role, you will bridge the gap between robust enterprise backend engineering and cutting-edge Artificial Intelligence. You will be responsible for designing, building, and deploying production-grade AI applications, with a heavy focus on LLM orchestration, AI Agents, and multi-agent systems integrated into our Spring Boot ecosystem (utilizing frameworks like Spring AI or LangChain4j). Skills RequiredJava (Java 17+) and Spring Boot Spring MVCSpring DataSpring Security REST APIs and Microservices Architecture AI AgentsAgentic WorkflowsMulti-Agent Systems Spring AI or LangChain4j Prompt Engineering and Retrieval-Augmented Generation (RAG) LLM Integration (OpenAIAnthropicOllamaHugging Face) Vector Databases (PineconepgvectorMilvusChroma) SQL (PostgreSQL/MySQL) and NoSQL Databases DockerKubernetesCI/CD Maven or Gradle Strong Problem-Solving and Debugging Skills Experience with AI-powered Developer Tools (GitHub CopilotCursoretc.)Requirements - Core Java & Backend Engineering - Experience: 3+ years of professional software development experience with Java (Java 17+ preferred). - Frameworks: Deep expertise in the Spring Boot ecosystem (Spring MVC, Spring Data, Spring Security). - Architecture: Strong understanding of Microservices architecture, REST APIs, and asynchronous event-driven programming. - AI & LLM Specialization - AI Frameworks: Hands-on experience with Java-centric AI libraries such as Spring AI or LangChain4j (or equivalent experience migrating Python-based LangChain/LlamaIndex concepts to Java). - AI Agents: Proven implementation experience building AI Agents that utilize memory management, chain-of-thought reasoning, and function calling (tool execution). - LLM Integration: Experience working with commercial and open-source LLM APIs (e.g., OpenAI, Anthropic, Ollama, Hugging Face). - Vector Search & RAG: Practical experience implementing RAG (Retrieval-Augmented Generation) using vector databases. - Database & Tools - Databases: Experience with SQL (PostgreSQL, MySQL) and NoSQL databases. - DevOps: Familiarity with Docker, Kubernetes, and CI/CD pipelines. - Build Tools: Proficiency with Maven or Gradle. Nice To Have - Experience with Python (for data prototyping or interacting with data science teams). - Knowledge of graph databases (e.g., Neo4j) for GraphRAG implementations. - Familiarity with cloud platforms (AWS, Azure, or GCP) and their native AI offerings (e.g., AWS Bedrock). - Contributions to open-source Java AI frameworks (like LangChain4j). Responsibilities - AI Architecture & Integration: Design and implement scalable backend services using Java and Spring Boot that seamlessly integrate with Large Language Models (LLMs) and Vector Databases. - Agentic Workflows: Develop, optimize, and deploy autonomous and semi-autonomous AI Agents capable of tool usage, planning, and multi-step reasoning. - LLM Engineering: Implement prompt engineering strategies, Retrieval-Augmented Generation (RAG) pipelines, and fine-tuning integration for diverse business use cases. - Backend Development: Write clean, maintainable, and efficient Java code. Design robust RESTful APIs and microservices to support AI-driven features. - Data Orchestration: Manage data ingestion, embedding generation, and semantic search configurations using vector databases (e.g., pgvector, Pinecone, Milvus, Chroma). - Performance & Security: Optimize AI inference latency, manage LLM token usage/costs, and ensure strict data privacy and security compliance within the AI pipeline. - Collaboration: Work closely with Data Scientists, Product Managers, and Frontend Engineers to translate complex AI capabilities into intuitive user experiences. Compensation: 700,000.00 - 1,500,000.00 per year Perks: - Provident Fund Application Question(s): - Immediate Joiners Only - Having AI Development Experience using Java Experience: - AI Developer: 3 years (Required) Work Location: Hybrid remote in Coimbatore, Tamil Nadu .
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