Field Application Engineer (FAE) – AI Infrastructure & Agentic AI Systems
Epic Semi · San Francisco County, CA · Yesterday
Information TechnologyFull-time
Key Responsibilities
- Design and deliver end-to-end demos for Agentic AI, LLM inference, and AI infrastructure use cases.
- Deploy and optimize Epic Semi platforms across compute, storage, and networking stacks.
- Build scalable demo pipelines including RAG systems, AI copilots, and agent-based workflows.
- Integrate LLM runtimes, agent frameworks, and data infrastructure for distributed deployments.
- Support customer engagements including POCs, technical workshops, and solution discussions.
- Collaborate with product, silicon, and software teams to align customer needs with roadmap.
Qualifications
- Strong experience with Linux systems (bare metal and containerized environments).
- Hands-on experience with AI/ML frameworks (PyTorch, Hugging Face, vLLM, etc.).
- Familiarity with agentic AI frameworks (LangChain, LangGraph, MCP or similar).
- Experience with data center infrastructure, storage (NVMe/SSD), or networking technologies.
- Ability to build end-to-end demos from concept to customer-ready solutions.
- Strong communication skills for technical storytelling and live demonstrations.
Nice to Have
- Experience with RISC-V ecosystem or AI accelerators.
- Familiarity with Kubernetes, KServe, or Ray.
- Understanding of LLM inference optimization and distributed systems.
Pay
Competitive compensation.
Schedule
Full-time.
Benefits
Global impact opportunities.