Java Developer with AI

Artifintech; Plano (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Artifintech is seeking a skilled backend engineer to design and implement scalable MCP servers, tools, and data integration services. You will build secure, high-performance backend systems using Java/Spring Boot and Python, supporting AI agents and applications.

Responsibilities include designing RESTful APIs, microservices, and reusable components; ensuring robust API security, and collaborating with architects and data teams to translate business needs into reusable technical solutions.

Qualifications

• Designs scalable backend services and data integration.
• Experience with secure, high-performance data access services.
• Strong understanding of authentication and API security.

Skills

Java

Spring Boot

Python

RESTful APIs

Microservices

SQL

Starburst/Trino

API security

CI/CD

Containerization

LLMs

MCP

Tools

Git

Docker

Kubernetes

CI/CD tools

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

Role Description:

Designs the architecture and develops reusable MCP servers, tools, APIs, and data integration services to enable secure and efficient consumption of curated data by AI agents and applications.

Core Skills & Experience:

• Strong hands-on development experience with Java, Spring Boot, and Python for building scalable backend services and applications.
• Experience designing solution architectures, RESTful APIs, microservices, and reusable integration components, with the ability to apply these skills to MCP server and tool development.
• Strong SQL skills and experience integrating applications with relational databases and data platforms, preferably Starburst/Trino.
• Experience building secure, high-performance data access services to query and expose curated data to downstream applications and AI agents.
• Strong understanding of authentication, authorization, API security, performance optimization, and troubleshooting.
• Strong software engineering practices, including Git, CI/CD, automated testing, code reviews, and containerization.
• Ability to collaborate with architects, data engineers, and application teams to translate business requirements into scalable, reusable technical solutions. Preferred / Added Advantage
• Understanding of LLMs, agentic AI architectures, tool calling, and MCP, with the ability to support data agent development.

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.