Senior Java Fullstack Engineer – Technical Lead

VLink • Lafayette, LA

6h • Onsite

About The Position

Strong experience in React, Java (17+), Spring Boot, Spring Data JPA, Spring Security, and Microservices. Design and develop scalable REST APIs, event-driven services, and enterprise applications. Experience with Large Language Models (LLMs), Agentic AI, Prompt Engineering, and Context Engineering. Build AI-enabled applications using LangChain, LangGraph, OpenAI/Azure OpenAI, and Model Context Protocol (MCP). Implement Retrieval-Augmented Generation (RAG) using embeddings, vector search, and knowledge retrieval. Hands-on experience with Vector Databases (Pinecone, pgvector, ChromaDB, FAISS, or Azure AI Search). Strong knowledge of cache technologies such as Redis and distributed caching strategies. Experience with relational and NoSQL databases including PostgreSQL, Oracle, MongoDB, and data modeling. Deploy and manage applications on AWS and OpenShift/Kubernetes using Docker and CI/CD pipelines. Experience with messaging technologies such as Kafka and API integrations. Familiarity with Git, Maven/Gradle, Jenkins/GitHub Actions, and DevOps practices. Strong analytical, problem-solving, debugging, and collaboration skills

Requirements

• Strong experience in React, Java (17+), Spring Boot, Spring Data JPA, Spring Security, and Microservices.
• Experience with Large Language Models (LLMs), Agentic AI, Prompt Engineering, and Context Engineering.
• Hands-on experience with Vector Databases (Pinecone, pgvector, ChromaDB, FAISS, or Azure AI Search).
• Strong knowledge of cache technologies such as Redis and distributed caching strategies.
• Experience with relational and NoSQL databases including PostgreSQL, Oracle, MongoDB, and data modeling.
• Experience with messaging technologies such as Kafka and API integrations.
• Familiarity with Git, Maven/Gradle, Jenkins/GitHub Actions, and DevOps practices.
• Strong analytical, problem-solving, debugging, and collaboration skills.

Responsibilities

• Design and develop scalable REST APIs, event-driven services, and enterprise applications.
• Build AI-enabled applications using LangChain, LangGraph, OpenAI/Azure OpenAI, and Model Context Protocol (MCP).
• Implement Retrieval-Augmented Generation (RAG) using embeddings, vector search, and knowledge retrieval.
• Deploy and manage applications on AWS and OpenShift/Kubernetes using Docker and CI/CD pipelines.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed