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Medium: metro location plus broad ML/LLM and infra requirements increase competition despite senior, niche role.
High: role requires specialized LLM, GPU, Kubernetes and distributed-systems expertise, limiting cross-industry transferability.
High: explicit 10+ years, 3+ years LLM experience, Kubernetes/GPU and distributed systems mandated.
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Architect and lead technical roadmap for Gaia Emblem engine including LLM integration, RAG pipelines, and prompt-engineering frameworks.
Design and operate scalable GPU-aware infrastructure on Kubernetes across various platforms with cost-efficient resource utilization.
Lead design reviews, mentoring, and partner with Product and Engineering teams to deliver production-grade ML/LLM systems and data engineering pipelines.
10+ years professional software engineering experience with 8+ years building distributed, production-grade backend systems.
3+ years hands-on experience with LLM-based systems, RAG architectures, or applied ML infrastructure.
Proven experience operating GPU-backed services on Kubernetes at production scale (vanilla K8s, OpenShift, EKS, GKE, or equivalent).
Bachelor’s degree in Computer Science, Engineering or related technical field required.
Experienced technical leader comfortable setting architecture and driving cross-team initiatives for complex ML infrastructure.
Strong background in large-scale distributed systems involving ML model serving, GPU infrastructure, and data pipelines.
Skilled in balancing long-term vision with pragmatic delivery and able to communicate technical trade-offs to diverse stakeholders.