Lead AI Software Engineer

Machine Learning Technologies, LLC; Atlanta (GA); Presencial; USD 110.000 - 170.000; Jornada completa

Descripción de la vacante

Machine Learning Technologies, LLC is seeking a Java Full Stack Engineer to design and deliver scalable applications in a cloud-native environment.

Responsibilities include collaborating with cross-functional teams, conducting code reviews, and enabling GenAI-assisted development to boost productivity and platform efficiency.

Experience with AWS, CI/CD, and modern front-end frameworks is preferred.

Formación

• Proficient in J2EE, Spring/Hibernate, and modern front-end frameworks.
• Experience building cloud-native architectures and CI/CD pipelines.
• Experience with GenAI tools to improve developer productivity.

Responsabilidades

• Develop and maintain high-quality, scalable software solutions.
• Design and develop applications aligned with business and technical requirements.
• Participate in code reviews and follow engineering best practices.
• Create and maintain technical documentation, design specifications, requirements, and test plans.
• Support production systems, incident management, root-cause analysis, and problem resolution.
• Evaluate emerging technologies and participate in PoC initiatives.
• Contribute to technology roadmaps and modernization initiatives.
• Support application security, scalability, and operational resilience.
• Work collaboratively with engineering and business teams.
• May lead smaller initiatives or contribute as a specialized individual contributor.

Herramientas

J2EE

Spring/Hibernate

Angular/React

REST/SOAP APIs

Cloud-native architecture

AWS

CI/CD

Jenkins

Maven/Gradle

Chef

Sonar

GenAI tools

Descripción del empleo

Job Description:

1. Java Full Stack Engineering:

• J2EE
• Spring / Hibernate
• Angular and/or React
• REST/SOAP APIs

2. Cloud-Native Architecture & DevOps:

• Cloud-native architecture
• AWS or other cloud platforms
• CI/CD
• Jenkins
• Maven / Gradle
• Chef
• Sonar

3. GenAI / AI-Enabled Engineering:

• Experience using GenAI tools to improve developer productivity
• AI-assisted coding, testing, documentation, and troubleshooting
• Practical GenAI use cases for modernization, automation, and platform efficiency

Responsibilities:

• Develop and maintain high-quality, scalable software solutions.
• Design and develop applications aligned with business and technical requirements.
• Participate in code reviews and follow engineering best practices.
• Create and maintain technical documentation, design specifications, requirements, and test plans.
• Support production systems, incident management, root-cause analysis, and problem resolution.
• Evaluate emerging technologies and participate in Proof of Concept (PoC) initiatives.
• Contribute to technology roadmaps and modernization initiatives.
• Support application security, scalability, and operational resilience.
• Work collaboratively with engineering and business teams.
• May lead smaller initiatives or contribute as a specialized individual contributor.

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.