Luminary · 19 hours ago
LLM Engineer
San Mateo, CA
Full-time
Onsite
Senior Level
5+ years expLuminary is a Series B company that helps engineering companies enhance their competitiveness through its Physics AI platform. The LLM Engineer will architect the Physics AI Copilot, focusing on developing intelligent assistants that improve engineering workflows by leveraging large language models.
Hospitality
Responsibilities
Develop Agentic AI systems: Design and implement tools for agents to call; build reasoning, planning, and orchestration capabilities that enable the copilot to autonomously execute complex engineering workflows
Design and optimize RAG pipelines: Build retrieval-augmented generation systems over engineering documentation, physics simulation results, and domain knowledge bases
Implement memory and context management: Create persistent conversation memory and context systems that maintain coherent, long-running engineering sessions
Fine-tune and adapt LLMs: Customize foundation models for Physics AI and physics simulation domain expertise through fine-tuning, prompt engineering, and evaluation frameworks
Deploy and scale LLM infrastructure: Build robust, production-grade systems for self-hosting and serving LLMs, optimizing for latency, cost, and reliability
Integrate with Physics AI and physics simulation platform: Connect LLM capabilities with Luminary's Physics AI training/evaluation/inference pipelines, physics simulation solvers, mesh tools, and analytics APIs to enable end-to-end automation
Establish evaluation frameworks: Define metrics and build testing infrastructure to measure copilot quality, accuracy, and user satisfaction
Collaborate cross-functionally: Work closely with Physics AI researchers, platform engineers, and product teams to deliver customer-centric AI experiences
Qualification
Required
Bachelor's degree or higher in Computer Science, Mechanical Engineering, Aerospace Engineering, or related field
5+ years of experience building production software or ML systems
2+ years of hands-on experience developing LLM-powered applications
Strong proficiency in Python
Proficiency using coding agents such as Claude Code
Experience with Agent Evals
Deep understanding of LLM architectures, prompting techniques, and their capabilities/limitations
Experience designing tools/functions for agents to call, with planning and reasoning
Experience with multi-agent orchestration and coordination
Hands-on experience with RAG systems and memory/context management, including vector databases, embedding models, chunking strategies, and long-running session handling
Experience building MCP (Model Context Protocol) servers to expose tools and capabilities to external agents
Experience with agent frameworks (e.g., LangChain, LlamaIndex, Google ADK, Autogen, Claude Agent SDK, or custom solutions)
Familiarity with Physics AI, CAE, or physics simulation domains a plus
Experience fine-tuning LLMs for domain-specific applications
Hands-on experience self-hosting and serving LLMs in production environments
Preferred
Experience with TypeScript for full-stack development
Experience with Go for backend systems
Familiarity with Kubernetes for container orchestration and deployment
Experience with GPU infrastructure and optimization for LLM inference
Experience deploying ML systems on cloud platforms (GCP, AWS, Azure) or on-prem infrastructure
Background in CFD, structural analysis, or thermal simulation
Experience building developer tools or copilot-style products
Contributions to open-source LLM projects or research publications
Company
Luminary
Luminary Travel creates bespoke, personalized travel experiences that reflect our clients' aspirations, desires, and values.
2-10 employees
H1B Sponsorship
Luminary has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Early StageLeadership Team
Eric Grayson
Founder and CEO
Jason Kringstein
Partner, Board Member
Company data provided by crunchbase