Java Developer with Gen AI
Location: Charlotte, NC (Hybrid 3 Days Onsite)
Duration: Long-Term Contract
final round in person
Job Description
We are seeking a highly skilled Java Developer with Generative AI expertise to design, develop, and deploy enterprise-scale AI-powered applications. The ideal candidate will have strong experience in Java backend development, microservices architecture, and hands-on experience integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks into business applications.
Key Responsibilities
Design and develop scalable backend applications using Java, Spring Boot, and Microservices architecture.
Build and integrate Generative AI solutions leveraging LLMs such as OpenAI, Azure OpenAI, Anthropic, or similar AI platforms.
Develop and implement RAG-based applications for intelligent document retrieval and knowledge management.
Design AI-powered APIs and services for conversational AI, chatbots, copilots, and enterprise automation solutions.
Work with vector databases such as Pinecone, Weaviate, Qdrant, or pgVector for semantic search and embeddings management.
Implement AI orchestration workflows using frameworks such as LangChain, LangGraph, Spring AI, or similar technologies.
Collaborate with Data Science, Product, DevOps, and Business teams to deliver AI-driven solutions.
Optimize application performance, scalability, security, and reliability.
Participate in code reviews, architecture discussions, and technical mentoring.
Support CI/CD pipelines and cloud-native deployments using AWS, Azure, or Google Cloud Platform.
Required Qualifications
6+ years of experience in Java development.
Strong expertise in Java 11/17+, Spring Boot, Spring Security, and Microservices.
Hands-on experience integrating LLMs and Generative AI services.
Experience with RAG architectures and vector databases.
Strong understanding of REST APIs, event-driven architectures, and distributed systems.
Experience with Kafka, RabbitMQ, or similar messaging technologies.
Knowledge of Docker, Kubernetes, and CI/CD pipelines.
Experience with relational and NoSQL databases.
Strong understanding of software design patterns and system architecture.
Excellent communication and problem-solving skills.