Software Engineer

General Motors

Software Engineer on the Enterprise AI team at General Motors integrating AI technologies into business strategies. Developing and optimizing AI-driven applications across global platforms.

Posted 7/1/2026full-timeLeinster • 🇮🇪 IrelandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing AI infrastructure and applications, with a strong focus on machine learning, software engineering, and cloud-based platforms. Proficient in implementing high-performance software systems and integrating diverse data sources through APIs.

Highest-signal resume keywords

Python ProgrammingMachine LearningCloud-Based AI/ML PlatformsDocker and KubernetesAI Integration Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringArtificial IntelligenceDeep LearningStatistical ModellingAPI Integration

Soft Skills

CollaborationCross-Functional Teamwork

Tools & Technologies

AWSGCPAzureSlackGoogle WorkspaceMoveworksGleanCopilotWorkdayServiceNow

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Data ScienceBachelor’s Degree in AI/ML

Industry Keywords

AI InfrastructureMachine Learning ApplicationsHigh-Performance Software SystemsScalabilitySecurityEfficiency

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonServiceNow

About the role

Key responsibilities & impact

Develop and test cutting-edge AI infrastructure, optimizing machine learning and AI-driven applications across GM’s global platforms.
Collaborate with cross-functional teams (data scientists, software engineers, product teams) to bring AI solutions into production at scale.
Implement robust, high-performance software systems with a focus on scalability, security, and efficiency.
Work on technical initiatives in validation, deployment, and monitoring in real-world environments.
Implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools.

Requirements

What you’ll need

3+ years’ experience required of software engineering and Artificial Intelligence, fluency in Python.
Bachelor’s degree in Computer Science, Data Science, AI/ML, or equivalent experience.
Understanding of machine learning, deep learning, and statistical modelling.
Familiarity with cloud-based AI/ML platforms (AWS, GCP, Azure) and containerisation using Docker and Kubernetes.
Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow.

Benefits

Comp & perks

This job may be eligible for relocation benefits