AI Infrastructure Engineer — On-Prem & Agentic Systems

SK hynix memory solutions America Inc.

San Jose (CA)

On-site

USD 140,000 - 165,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision insurance
401(k) match
Cafeteria and onsite gym

Job summary

SK hynix memory solutions America Inc. in San Jose is seeking a Sr. Staff AI Engineer to lead the design and management of on-prem AI infrastructure. This role involves building agentic AI systems to drive automation in enterprise settings, ensuring scalable environments that meet business demands.

Ideal candidates will have significant experience in AI/ML engineering and a track record of deploying impactful AI systems. The role complements innovative work in a collaborative environment with a competitive compensation package including benefits and 401(k).

Qualifications

  • 2+ years of experience in AI/ML engineering, especially deployment on-prem or private cloud.
  • Experience building agentic AI systems with state management and multi-step reasoning.
  • Knowledge of RAG architectures and model fine-tuning techniques.

Responsibilities

  • Design and deploy on-prem AI infrastructure including GPU clusters and orchestration.
  • Develop and optimize RAG pipelines and build agentic AI systems.
  • Collaborate with product teams to integrate AI capabilities into workflows.

Skills

Python
Model Control Protocols
Docker/Kubernetes
AI Serving Frameworks
RAG Architectures

Education

Bachelor of Science in CS, EE, ME, or applicable Engineering field

Tools

Linux
Vector databases (e.g., Milvus, Qdrant)

Job description

SK hynix memory solutions America Inc. in San Jose is seeking a Sr. Staff AI Engineer to lead the design and management of on-prem AI infrastructure. This role involves building agentic AI systems to drive automation in enterprise settings, ensuring scalable environments that meet business demands.

Ideal candidates will have significant experience in AI/ML engineering and a track record of deploying impactful AI systems. The role complements innovative work in a collaborative environment with a competitive compensation package including benefits and 401(k).

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