Full Stack Developer
virtue americaRaleigh (NC)
About the role
Job Title: Full Stack Developer – GenAI / Agentic AI
Location: Charlotte, NC
Experience: Mid-Senior Level
Job Summary:
We are seeking a skilled Full Stack Developer with expertise in Java, Reactive programming, Conversational AI, and Generative AI. The ideal candidate will develop scalable backend services and modern AI-powered applications using Google Vertex AI, Agentic AI frameworks, and RAG architectures. Experience with Google ADK, LangChain, and AI agent integration is highly desirable.
Key Responsibilities:
Design, develop, and maintain full-stack applications using Java, Spring Boot, and modern front-end technologies.
Build reactive backend services using Spring WebFlux and Reactive Java.
Develop and integrate RESTful APIs and microservices for enterprise applications.
Implement event-driven architectures using Apache Kafka and Redis.
Design and develop Conversational AI solutions using Google Vertex AI and Generative AI technologies.
Build and orchestrate AI agents using Google ADK or similar agent development frameworks.
Implement RAG pipelines using LangChain, embeddings, and vector search technologies.
Develop and integrate MCP servers and enable Agent-to-Agent (A2A) communication.
Perform AI evaluations, monitor model performance, and implement observability practices.
Develop and execute Python-based automated tests using pytest.
Collaborate with cross-functional teams to deliver secure, scalable, and reliable AI-powered applications.
Required Qualifications:
Strong hands-on experience in Java full-stack development.
Expertise in Spring WebFlux, Reactive Java, RESTful APIs, and microservices.
Experience with Apache Kafka, Redis, and software architecture principles.
Hands-on experience with Generative AI, Conversational AI, and Agentic AI.Experience with Google Vertex AI and building AI agents, preferably using Google ADK.Strong knowledge of Python programming and LangChain.
Experience implementing Retrieval-Augmented Generation (RAG) architectures.
Familiarity with AI evaluations (Evals), model monitoring, and observability.
Experience with MCP servers and Agent-to-Agent (A2A) communication.
Experience writing automated Python tests using pytest.
Preferred Qualifications:
Knowledge of Neo4j and graph database concepts.
Experience with embeddings, vector databases, and semantic search.
Familiarity with cloud-native application development and CI/CD pipelines.
Strong analytical, problem-solving, and communication skills.
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