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Artificial Intelligence Engineer
Linkedin
1 hour ago
Full-time
On-site
Raleigh, North Carolina, United States
Experience:
· 8+ years of software engineering experience, including 3+ years leading AI-powered application development.
· Bachelor’s degree in Computer Science, Computer Engineering, or related field.
· Proven experience developing, deploying, and scaling AI-powered applications (provide examples of integrations using open models or APIs).
· Expertise in designing AI-first architectures, including microservices, event-driven systems, and real-time AI workflows.
· Hands-on experience with LLMs, agentic AI models, and autonomous AI-driven workflows.
· Strong skills in AI model deployment, cost optimization, and fine-tuning.
· Deep understanding of security, compliance, and ethical considerations in AI development.
Additional Items of Interest: · Experience leading AI-first engineering transformations across teams. · Contributions to open-source AI projects or AI thought leadership. · Experience with agentic AI frameworks, composable AI solutions, and MLOps best practices. · Industry engagement through conferences, research initiatives, or AI-first development communities. · Cloud-native AI deployment experience (Docker, Kubernetes, cloud platforms).
Additional Items of Interest: · Experience leading AI-first engineering transformations across teams. · Contributions to open-source AI projects or AI thought leadership. · Experience with agentic AI frameworks, composable AI solutions, and MLOps best practices. · Industry engagement through conferences, research initiatives, or AI-first development communities. · Cloud-native AI deployment experience (Docker, Kubernetes, cloud platforms).