LLM Engineer
Core
Architecting a Physics AI Copilot to accelerate engineering workflows through intelligent assistants combining large language models with domain-specific physics challenges.
Role type
Senior IC LLM Engineer (Physics AI)
Builds
Agentic AI systems, RAG pipelines, memory/context management systems, fine-tuned LLMs, and scalable LLM infrastructure for self-hosting.
Domain
Physics simulation, engineering workflows, AI/ML
Deliverable
production ML models | product features
Required skills
Python, coding agents (e.g., Claude Code), Agent Evals, LLM architectures, prompting techniques, agent tool/function design, multi-agent orchestration, RAG systems, memory/context management
Preferred skills
None stated
Technologies
None explicitly listed beyond Python and coding agents
Responsibilities
Design and implement tools for agents to call; build reasoning, planning, and orchestration capabilities; build retrieval-augmented generation systems over engineering documentation; create persistent conversation memory and context systems; customize foundation models for Physics AI domain expertise; build robust, production-grade systems for self-hosting and serving LLMs; connect LLM capabilities with physics simulation solvers and analytics APIs; define metrics and build testing infrastructure to measure copilot quality; work closely with Physics AI researchers, platform engineers, and product teams.
Seniority
Senior, hands-on IC