Java Software Engineer - AI-Driven Debugging & Cloud

Machine Learning Technologies, LLC; Houston (TX); On-site; USD 100,000 - 150,000; Full time

Job summary

Machine Learning Technologies, LLC in Houston, TX seeks engineers with strong communication, analytical, and debugging skills to advance software development with AI-assisted tooling. Candidates should have Linux/UNIX/Windows experience, Java/J2EE background, and proficiency in REST APIs and security scanning.

The role emphasizes AI-augmented engineering, spec-driven development, and the ability to work independently in a fast-paced team environment.

Qualifications

• Excellent communication (oral & written), analytical and troubleshooting skills.
• OS experience in one or more areas of Linux, UNIX, and/or Windows.
• Strong understanding & experience of executing Static & Dynamic scans, fixing vulnerabilities.
• AI Augmented Engineering & Debugging: demonstrated use of AI-assisted development tools to accelerate debugging, root cause analysis, code remediation, and test generation within enterprise SDLC and security guardrails.
• Spec Driven & Agent Assisted Development Practices: hands-on experience with spec-driven or agent-assisted development workflows, translating problem statements into clear specifications and guiding AI tools to generate targeted code changes.

Skills

Communication

Analytical thinking

Troubleshooting

Linux

UNIX

Windows

Java

J2EE

Servlets

JNDI

Jax-RS

JMS

JUnit

XML

JSON

REST APIs

Security scanning

AI tooling

Spec-driven development

Tools

GitHub Copilot

Claude Code

Cursor

JDBC

JDK

JVM

Job description

Machine Learning Technologies, LLC in Houston, TX seeks engineers with strong communication, analytical, and debugging skills to advance software development with AI-assisted tooling. Candidates should have Linux/UNIX/Windows experience, Java/J2EE background, and proficiency in REST APIs and security scanning.

The role emphasizes AI-augmented engineering, spec-driven development, and the ability to work independently in a fast-paced team environment.