Java Developer with AI

Artifintech; Austin (TX); Hybrid; USD 100,000 - 150,000; Full time

Job summary

Artifintech is seeking a seasoned backend engineer to design architecture and develop MCP servers, tools, and data integration services enabling secure, efficient data access for AI agents and applications.

You will work on RESTful APIs, microservice patterns, and scalable data access with emphasis on security, performance, and maintainability. Collaboration with cross-functional teams is essential.

Qualifications

• Hands-on development in Java/Spring Boot/Python building backend services.
• Experience designing RESTful APIs, microservices, and reusable integration components.
• Strong SQL skills and experience with Starburst/Trino or similar data platforms.

Responsibilities

• Designs architecture and develops MCP servers, tools, APIs, and data integration services.
• Collaborate with architects, data engineers, and application teams to translate requirements into scalable solutions.

Skills

Java

Spring Boot

Python

RESTful APIs

Microservices

SQL

Starburst/Trino

API security

CI/CD

Git

Containerization

LLMs

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.