VP – Distinguished Engineer, Generative AI Engineering

Job not on LinkedIn

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $222.4k - $370.7k / year

⏰ Full Time

🔴 Lead

🗣️ LLM Engineer

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Slate Auto

WebsiteLinkedInAll Job Openings

201 - 500 employees

🚘 Automotive

🏭 Manufacturing

🚗 Transport

Automotive • Manufacturing • Transport

Slate Auto is a manufacturer of a radically simple, highly customizable electric pickup that can be configured as a pickup or fastback SUV. The company sells directly to consumers with an online configurator called the Slate Maker, a reservation model, and an accessories marketplace for swaps and upgrades. Slate Auto emphasizes affordability, practical design, and easy ownership with integrated charging options and third‑party service and charging network partnerships.

📋 Description

• Envision, design, and ship Slate’s GenAI platform • Make long-term architectural decisions for GenAI platforms, agentic systems, robot-to-model feedback loops, and embedded AI • Partner with Vehicle Engineering, Manufacturing, and Quality to deploy measurable AI solutions • Design and own the end-to-end GenAI platform, including context, data, model serving, agent frameworks, and evaluation pipelines • Design AI systems for physical manufacturing, including agentic coordination and model personalization • Embed AI into manufacturing through robotic process control, computer vision, predictive maintenance, and closed-loop feedback • Build Slate’s proprietary data and context layer and unified data layer • Deploy production-grade AI agents across vehicle engineering, manufacturing, supply chain, software development, and GTM • Establish evaluation frameworks, guardrails, and observability practices • Recruit and grow GenAI engineers, MLOps engineers, and applied scientists • Review pull requests, make architecture decisions, and ship code alongside the team • Establish technical standards, engineering practices, and hiring standards • Contribute externally through open source, publications, or conference talks • Report directly to the Chief Digital and Operations Officer and participate on the senior technology leadership team

🎯 Requirements

• 15+ years of engineering experience • 5+ years shipping production GenAI systems • 7+ years in a senior technical leadership role • Work recognized outside the candidate’s organization • BS required • Deep hands-on experience with LLM APIs including OpenAI, Anthropic, and Gemini • Production-scale open-source model deployment • Experience with vector databases • Experience with agent orchestration frameworks such as LangChain or LlamaIndex • Prompt engineering for reliability • Fine-tuning and training purpose-built domain-specific models • Experience with GenAI evaluation frameworks, guardrails, and observability pipelines • Experience designing and deploying production multi-agent systems • Experience deploying AI systems on physical hardware or in industrial environments • Computer vision systems for manufacturing quality assurance • Closed-loop learning systems with physical-world outcomes • Robot-to-model feedback architectures • Familiarity with physical simulation environments such as Isaac Sim or MuJoCo • Sensor fusion and multimodal data handling • Real-time inference pipelines with hard latency constraints • Edge deployment architectures under intermittent connectivity • Data architecture using modern data stacks such as Snowflake, Databricks, and dbt • Vector stores and streaming data pipelines • Architecture-level cloud infrastructure experience with AWS, GCP, or Azure • Enterprise-scale AI platforms serving thousands of concurrent users • Multi-tenant model serving architectures • Security and compliance architecture for proprietary manufacturing IP • Platform engineering practices including SDKs, abstraction layers, and self-service tooling • MS or PhD in a relevant field preferred, not required

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • Vacation • 401k • Equity program eligibility • Discretionary annual incentive program eligibility • Reasonable accommodation for qualified individuals with disabilities