Llm Reliability Jobs in San Francisco, CA

…loops needed to ship changes reliably into enterprise environments.

Practical experience building with LLMs and agentic systems.

…and scale GPU capacity for LLM and ML workloads, balancing performance, reliability, and cost.

Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions.

You will: Design VLM/LLM model architecture and drive strong alignment between model architectures and hardware architectures

evaluation: LLM-as-judge, benchmark design, agent harnesses, calibration, and understanding how to integrate them into professional settings Sound

…assistant experiences that are useful, reliable, and grounded in real enterprise workflows.

Hands-on experience building AI/LLM-powered applications or agents with real users or operational use.

…products Direct experience with production LLM

…Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

Hands-on experience post-training LLMs including adapting open-weight models to specialized tasks.

LLM-as-judge on every event is easy.

You are fluent in LLM evaluation concepts: evalsets, LLM-as-judge, pairwise/side-by-side judging, judge calibration against human labels,

…and hardware capabilities in a reliable production runtime.

…part in defining Knowtex's long-term LLM strategy.