Java Developer

Artifintech; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Artifintech is seeking an experienced Java Developer to design and build AI-powered applications. You will work on scalable backend systems using Java, Spring Boot, and microservices, and you will engineer AI agents via Google ADK and Gemini.

The role entails implementing multi-agent workflows, REST integrations, and RAG-based solutions deployed on GCP. You will collaborate across teams to ensure seamless API integrations, tool calling, and cloud-native architecture while maintaining robust,

Qualifications

• Strong experience in Java, Spring Boot, and Microservices.
• Hands-on experience with Google ADK.
• Experience with Gemini, Agentic AI, and multi-agent orchestration.
• Knowledge of REST APIs, RAG, and MCP.
• Experience with GCP services, Docker, and Kubernetes.

Responsibilities

• Develop scalable backend applications using Java, Spring Boot, and Microservices.
• Build and orchestrate AI agents using Google ADK and Google Gemini.
• Implement multi-agent workflows, tool calling, and API integrations.
• Develop RAG-based solutions using vector databases and LLMs.
• Integrate AI agents with enterprise applications, REST APIs, and cloud services.
• Deploy and maintain applications on Google Cloud Platform (GCP).

Skills

Java

Spring Boot

Microservices

REST APIs

RAG

Agentic AI

Tools

Google ADK

Gemini

Docker

Kubernetes

GCP

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• We are looking for an experienced Java Developer with hands-on experience in Google Agent Development Kit (ADK) and Agentic AI to design and develop AI-powered applications.

Key Responsibilities:

• Develop scalable backend applications using Java, Spring Boot, and Microservices.
• Build and orchestrate AI agents using Google ADK and Google Gemini.
• Implement multi-agent workflows, tool calling, and API integrations.
• Develop RAG-based solutions using vector databases and LLMs.
• Integrate AI agents with enterprise applications, REST APIs, and cloud services.
• Deploy and maintain applications on Google Cloud Platform (GCP).

Required Skills:

• Strong experience in Java, Spring Boot, and Microservices.
• Hands-on experience with Google ADK.
• Experience with Gemini, Agentic AI, and multi-agent orchestration.
• Knowledge of REST APIs, RAG, and MCP.
• Experience with GCP services, Docker, and Kubernetes.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.