Full Stack Developer – GenAI / Agentic AI

Virtue America; North Carolina; On-site; USD 110,000 - 170,000; Full time

Job summary

Virtue America in Charlotte, NC is seeking a skilled Full Stack Developer – GenAI / Agentic AI to design, develop, and implement intelligent enterprise applications powered by Generative AI and conversational AI technologies. The role emphasizes Java full-stack development, reactive programming, RESTful APIs, and AI agent development with Google Vertex AI, LangChain, and RAG.

You will build scalable services, integrate AI-powered capabilities, and ensure observability while collaborating with

Qualifications

• Strong Java full-stack experience
• Hands-on AI/GenAI development
• Experience with Vertex AI
• Spring WebFlux / Reactive Java
• RESTful API design
• Kafka and Redis familiarity
• AI evaluation, observability, and monitoring
• Experience building AI agents (Google ADK)
• LangChain, RAG, and LLM integrations
• Python pytest testing
• Strong problem-solving and communication skills

Responsibilities

• Design, develop, and maintain full-stack apps using Java
• Build reactive backend services with Spring WebFlux
• Create RESTful APIs to support AI-driven workflows
• Develop AI agents using Google ADK and LangChain
• Implement RAG and LLM integrations
• Integrate Kafka and Redis for event-driven processing
• Develop Python services for AI orchestration
• Ensure observability and monitoring of AI agents and services
• Collaborate with architects and product teams
• Apply software design principles and security standards

Skills

Java full-stack

Conversational AI

Vertex AI

Spring WebFlux

REST APIs

Kafka

Redis

Architecture

AI agents

LangChain

RAG

LLMs

Evals

Observability

MCP

A2A

pytest

Communication

Tools

Google ADK

Neo4j

Job description

Job Title: Full Stack Developer – GenAI / Agentic AI

Location: Charlotte, NC

Job Summary

We are seeking a skilled Full Stack Developer – GenAI / Agentic AI to design, develop, and implement intelligent enterprise applications powered by Generative AI and conversational AI technologies. The ideal candidate will have strong experience in Java full-stack development, reactive programming, RESTful APIs, and AI agent development, along with hands‑on expertise in Google Vertex AI and modern AI frameworks.

The role involves building scalable backend services, integrating AI-powered capabilities, developing agentic workflows, and implementing Retrieval-Augmented Generation (RAG) solutions. The successful candidate will combine strong Java and Python programming skills with knowledge of AI evaluation, observability, and agent-to-agent communication to deliver reliable, production‑ready applications.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Java and modern application development frameworks.
• Build reactive backend services using Spring WebFlux and Reactive Java.
• Design, develop, and integrate RESTful APIs to support enterprise applications and AI-driven workflows.
• Develop conversational AI solutions and intelligent applications using Google Vertex AI and related technologies.
• Build and integrate AI agents using frameworks such as Google Agent Development Kit (ADK).
• Implement Generative AI solutions using LangChain, Retrieval-Augmented Generation (RAG), and large language models.
• Develop Python-based services and components to support AI agents, orchestration, and application integrations.
• Integrate Apache Kafka and Redis to support event-driven processing, messaging, caching, and application performance.
• Develop and maintain Model Context Protocol (MCP) servers to enable AI agents to interact with tools and external systems.
• Implement Agent-to-Agent (A2A) communication and orchestration to support collaboration between AI agents.
• Develop evaluation frameworks to assess AI application accuracy, reliability, performance, and response quality.
• Implement observability and monitoring practices for AI agents, backend services, and production applications.
• Write and maintain automated tests for Python applications using pytest and follow established software quality practices.
• Collaborate with architects, product teams, and other engineers to define technical solutions and deliver scalable applications.
• Apply software design principles, security standards, and development best practices throughout the application lifecycle.

Required Skills

• Strong hands‑on experience in Java full-stack development.
• Experience with conversational AI and Generative AI application development.
• Hands‑on experience with Google Vertex AI.
• Strong proficiency in Spring WebFlux and Reactive Java.
• Expertise in designing and developing RESTful APIs.
• Experience with Apache Kafka and Redis.
• Strong understanding of software architecture, design patterns, and scalable application development.
• Hands‑on experience building AI agents, preferably using Google ADK.
• Experience with LangChain, RAG, and large language model integrations.
• Experience with AI evaluations (Evals), application monitoring, and observability.
• Familiarity with MCP server development and Agent-to-Agent (A2A) communication.
• Experience writing automated Python tests using pytest.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Excellent communication and collaboration skills.

Preferred Skills:

• Knowledge of Neo4j or other graph database technologies.
• Experience deploying and supporting production‑grade AI and agentic applications.
• Familiarity with AI agent orchestration, tool integration, and enterprise application