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Software engineer

Dublin
General Motors
Software engineer
Posted: 28 May
Offer description

As a Software Engineer on the Enterprise AI team, you will play a critical role in shaping GM's future through high-impact AI systems.
You will implement advanced AI technologies then integrate them into GM's business strategies, culture, and operational workflows.
You'll be a hands-on technical contributor focused on building core infrastructure components for AI/ML workflows.
You'll work closely with other engineers and teams to deliver performant, production-grade systems.
What You'll Do:
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.
Your Skills & Abilities (Required Qualifications):
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.
What Will Give You A Competitive Edge (Preferred Qualifications)
Self-motivated, strong execution, impact-delivering oriented
Knowledge of algorithms, distributed systems, and API development.
Excellent problem-solving skills, with the ability to learn and deliver in a fast-paced environment.
Experience with natural language AI, such as customization, summarization and translation.
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