Job Summary
We are seeking an experienced Java Full Stack Developer with strong expertise in Java, React, SQL, and modern AI technologies, including Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI. The ideal candidate will develop scalable enterprise applications, build responsive user interfaces, integrate AI-powered capabilities, and deliver secure, high-performance software solutions.
Key Responsibilities
- Design, develop, test, and maintain scalable applications using Java and Spring Boot.
- Build responsive and user-friendly frontend applications using React.js, JavaScript, HTML5, and CSS3.
- Develop RESTful APIs and microservices to support enterprise applications.
- Integrate Generative AI and Large Language Models (LLMs) into existing applications.
- Design and implement RAG-based solutions to retrieve relevant information from enterprise data sources.
- Develop Agentic AI workflows to automate tasks and support intelligent decision-making.
- Write, optimize, and maintain SQL queries, database schemas, and stored procedures.
- Integrate frontend applications with backend services, databases, and AI-powered APIs.
- Perform unit testing, debugging, code reviews, and application performance optimization.
- Collaborate with cross-functional teams to deliver reliable and scalable software solutions.
- Follow Agile development practices and participate in the complete software development lifecycle.
Required Qualifications
- 5+ years of experience in Java full-stack development.
- Strong programming skills in Java and experience with Spring Boot and Microservices.
- Hands-on experience developing frontend applications using React.js.
- Strong knowledge of JavaScript, HTML5, CSS3, and REST APIs.
- Experience with SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
- Practical experience with AI/Generative AI and Large Language Models (LLMs).
- Understanding or hands-on experience with Retrieval-Augmented Generation (RAG).
- Knowledge of Agentic AI concepts, AI agents, and tool integration.
- Experience integrating backend services with external APIs and enterprise systems.
- Familiarity with Git, build tools, unit testing, and Agile methodologies.
Preferred Qualifications
- Experience with LangChain, LangGraph, or similar AI orchestration frameworks.
- Familiarity with vector databases such as Pinecone, Chroma, or FAISS.
- Experience with prompt engineering, embeddings, and semantic search.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
- Understanding of AI application security, evaluation, and performance optimization.
Key Skills
Mandatory: Java, Spring Boot, React.js, SQL, Generative AI, RAG, Agentic AI.
Preferred: Microservices, REST APIs, LLMs, LangChain/LangGraph, Vector Databases, Cloud, Docker, Kubernetes.
