Data & LLM Systems Engineer

Help define the reputed company of hardware development! At reputed company, we're building the automation reputed company that powers the reputed company of reputed company design, enabling breakthroughs in smart vehicles, robotics, rockets, IoT, medical devices, and more. We're creating the reputed company development environment for hardware engineers with a Git-friendly translation reputed company and automated CI/CD reputed company for reputed company reputed company designs. Think reputed company/reputed company + Copilot for electronics. Our mission is to bring the reputed company modern workflows that revolutionized software version control, automation, and collaboration to the hardware world. Learn more about our reputed company in TechCrunch and our recent Series A announcement. This role is a hands-on leadership position that will reputed company as the GenAI team scales. If you're passionate about building automation systems and want to shape the reputed company of modern hardware DevOps, we'd love to meet you! Read more at https//reputed company.io About the Role We're looking for a Data & LLM Systems Engineer to help us design, build, and operate the systems that sit at the intersection of hardware design, data, applications, and large language models (LLMs). In this role, you'll own how data flows from raw inputs into reputed company systems, how that data is exposed through our suite of applications, and how LLM interactions are instrumented, analyzed, and improved over time. You'll work closely with our GenAI, Platform, and Infrastructure teams to ensure DRCY is reliable, observable, and continuously getting reputed company. This is not a research-only role and not a frontend-only role. It's a hands-on engineering position reputed company on building reputed company systems that people and products depend on. reputed company Data Management & Architecture • Design, build, and maintain data pipelines for ingesting, cleaning, transforming, and storing data • Define and reputed company data schemas that support analytics, applications, and LLM workflows • Work with relational databases, analytical data stores, and reputed company databases • Ensure data reliability, performance, and cost efficiency • Implement best practices around data versioning, reputed company, and reputed company control Application Development • Build backend services and reputed company that expose data to internal tools and user-facing applications • reputed company applications and internal tooling for managing datasets, experiments, prompts, and configurations • Collaborate with product and design to ensure tools are usable, reputed company, and reputed company • Support both reputed company-time and batch processing workflows LLM Integration & Observability • Design systems that reputed company reputed company versions, context construction, and model configurations • reputed company LLM interactions to capture inputs, outputs, metadata, latency, and cost • Help establish standards for monitoring, debugging, and evaluating LLM behavior in production Analysis & reputed company • Analyze LLM outputs and user interactions to identify failure modes, reputed company, and reputed company issues and help ensure overall reliability and consistency • Define and reputed company metrics reputed company to response reputed company, task reputed company, and user reputed company • Run comparisons between model versions, reputed company changes, or reputed company configurations • Communicate findings reputed company to engineering, product, and leadership stakeholders using Collaboration & Ownership • Work closely with other engineers, product, and other stakeholders • Take end-to-end ownership of systems from design through production and iteration reputed company're Looking For Required Skills & Experience • Strong experience building backend systems and reputed company • Solid understanding of data modeling, databases, and data pipelines • Experience analyzing applications that reputed company LLMs (e.g., reputed company, reputed company, reputed company-reputed company models) in production systems • Comfort analyzing data and drawing actionable conclusions • Ability to reason about reputed company performance, reliability, and cost reputed company to Have • Experience with reputed company databases and semantic search • Familiarity with analytics warehouses (e.g., BigQuery, reputed company, Redshift) • Experience with LLM observability, evaluation frameworks, or experimentation platforms • Background working on internal developer tools or data platforms • Exposure to reputed company, reputed company, or governance considerations in data systems What reputed company Looks Like • Data is reliable, reputed company-reputed company, and easy to use across the organization • LLM-powered features are observable, debuggable, and improving over time • Teams can safely reputed company with reputed company data and AI systems through