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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager, AI Platform - Managed AI - **Company:** Crusoe's Inc - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $215,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Fault Tolerance, Python (Programming Language), Open Source Technology, AI Infrastructure, Large Language Models, AI Platforms, Kubernetes, Information Technology, HuggingFace, Grpc, Golang - **Published:** August 17, 2026 - **Apply:** https://www.dice.com/job-detail/e0a99801-8a93-4241-a926-a4dc3169df99 ## About the Role + 5+ years managing/leading high-performing engineering teams. + Ability to lead teams through ambiguity and align on complex technical goals. + Proven success hiring, developing, and retaining talent. * Technical Depth: + Hands-on experience with distributed and concurrent systems or AI infrastructure. + Deep knowledge of cloud-native environments, container orchestration, and SOAs. + Some familiarity with CPU & GPU performance, inference frameworks, or LLM systems is a strong plus. * Product & Delivery Focus: + Comfortable owning deliverables from design through production. + Strong collaboration skills, prioritizing clarity, context, and customer impact. + Experience in fast-paced startup or growth-stage environments. * Preferred Qualifications: + Background in Computer Science, Engineering, or a related technical field. + Proficiency in Python/GoLang/Rust. + Experience with Kubernetes, gRPC, and observability stacks. o Familiarity with open-source AI ecosystems (e.g., vLLM, Hugging Face, Triton). * Personal Attributes: + Growth-minded leader who leads and empowers others. + Excellent communicator and relationship builder. + Passionate about building world-class AI infrastructure and teams ## Description As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next-generation platform for the full lifecycle of Large Language Models (LLMs). You will be responsible for guiding the team through the design and implementation of highly scalable, fault-tolerant infrastructure. You will lead a team of high-caliber engineers, combining technical expertise with strong people leadership. This role is central to a fast-growing, strategically important organization, where you will shape the engineering roadmap and drive the execution of key projects. Success requires close partnership with product, business, and platform stakeholders to deliver a performant and reliable platform that powers AI for customers globally. This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presence What You'll Be Working On: * Team Leadership & Strategy: + Lead, mentor, and grow a team of high-caliber software engineers on Crusoe's + Partner with leadership to define and execute the AI roadmap, setting clear goals and driving accountability. + Cultivate a high-performance, collaborative engineering culture grounded in technical excellence. * Technical Execution: + Oversee the architecture and development of core AI services: fault-tolerant task queues, model management systems, cost-aware scheduling, etc. + Ensure delivery of scalable systems capable of handling millions of API requests per second. + Deliver an AI platform that can handle a large variety of load from training, to agentic execution infrastructure. * Collaboration and Influence: + Work cross-functionally with Product, Infrastructure, and GTM stakeholders. + Represent Engineering in strategic discussions to influence AI platform growth and customer adoption. + Promote knowledge sharing, technical mentorship, and the evolution of engineering processes. ## Related Videos - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)