*Location: Remote

About Switch

At Switch, we don’t just design, build and operate data centers—we are enabling the technology of the future. Led by Founder & CEO, Rob Roy, we believe in revolutionary innovation, operational excellence and the principle of karma. Switch is where talented people come together to EVOLVE the digital world.

We believe that innovation isn’t just about technology—it’s about the people, culture, and purpose that make it happen. Every Switch team member contributes to a mission greater than themselves: to create the world’s most advanced digital infrastructure that powers the progress of humanity.

The Role: Senior AI/ML Engineer (RAG / Co-Pilot Systems)

As a Senior AI/ML Engineer (RAG / Co-Pilot Systems) at Switch, you will be part of a world-class team that operates in excellence, delivering mission-critical solutions that redefine what’s possible in AI, cloud and enterprise data center needs. Your work will directly impact the future of technology and the sustainable growth of the Internet.

We are building a next-generation Retrieval-Augmented Generation (RAG) co-pilot platform and related AI/ML systems to power intelligent, trustworthy, and secure applications across our organization. As a Senior AI/ML Engineer, you’ll design, prototype, and deploy scalable AI solutions—from model training and orchestration to production-grade serving in cloud, hybrid, and air-gapped environments.

In this role you will be highly technical and hands-on. You will work across the stack—data pipelines, ML models, orchestration frameworks, and GPU-accelerated infrastructure—while collaborating with product, platform, and security teams to deliver high-impact AI systems.

What You’ll Do

• Design and Build scalable AI/ML systems, with a focus on RAG architectures (retrieval pipelines, embeddings, vector stores, LLM orchestration).
• Prototype and Deploy generative AI features into production using PyTorch, LangChain, LlamaIndex, and other modern AI frameworks.
• Operationalize Models with MLflow for experiment tracking, model registry, deployment, and governance.
• Optimize Inference Pipelines for performance, efficiency, and cost, leveraging NVIDIA GPUs, NVIDIA NIM inference microservices, and the NVIDIA GPU Operator for Kubernetes-based cluster management.
• Implement Cloud-Native Patterns: containerization, microservices, sidecars, service mesh, and event-driven pipelines.
• Deploy in Secure Environments: architect and support systems in air-gapped, regulated, or on-premises environments with strict compliance requirements.
• Ensure Reliability with robust observability (monitoring, logging, alerting, tracing) and CI/CD automation.
• Collaborate Cross-Functionally to translate product and research requirements into technical specifications for data, models, and serving.
• Continuously evaluate and integrate emerging tools in LLM orchestration, vector databases, and distributed ML infrastructure.
• Drive next-level innovation in Product Development to support our mission-critical infrastructure.
• Work in a fast-paced, high-impact environment where execution is key.
• Leverage cutting-edge technology and sustainable design principles to create world-class solutions.
• Uphold Switch’s Karma philosophy— leading with integrity and empowering those around you.

What We’re Looking For

• Innovators & Builders – You see challenges as opportunities and thrive in uncharted territories.
• High-Performance Thinkers – You have a relentless drive for excellence and a passion for pushing the envelope. You thrive in high impact
  environments where execution is key.
• Integrity-Driven Leaders – You operate with honor, responsibility, and purpose, recognizing that the energy you put out into the world will return to you.
• Tech Pioneers – You understand the power of technology to change the world and want to be at the forefront of that transformation.

What You'll Bring

• 8+ years professional experience in AI/ML engineering or software engineering (or equivalent).
• Deep expertise with large language models and RAG systems (retrieval, embeddings, vector search, prompt control).
• Strong proficiency in Python for AI/ML workflows and integration.
• Hands-on experience with: PyTorch, MLflow, LangChain / LlamaIndex, NVIDIA NIM, NVIDIA GPU Operator.
• Kubernetes expertise: deploying, scaling, and securing ML workloads in containers.
• Familiarity with cloud-native design patterns (microservices, service mesh, sidecars, event-driven pipelines, serverless).
• Experience building and deploying systems in air-gapped, regulated, or hybrid on-prem/cloud environments.
• Solid understanding of distributed systems, ML system scaling, and performance tuning.
• Strong engineering practices (CI/CD, testing, code reviews, version control).
• Excellent communication skills and ability to explain complex systems and trade-offs.
• Preferred advanced degree (MS/Ph.D.) in Computer Science, Machine Learning, or related field.
• Preferred experience with vector databases (e.g., Qdrant, Weaviate, Milvus, Pinecone) or custom vector search solutions.
• Preferred experience with large-scale LLM serving and optimization techniques (quantization, distillation, sharding).
• Preferred experience in regulated industries (finance, healthcare, energy, government) with compliance frameworks (SOC 2, HIPAA, FedRAMP, etc.).
• Contributions to open-source AI/ML frameworks or cloud-native tooling.

Why Switch?

• A Culture of Karma – We are self-motivated by karma, ensuring our actions contribute to a positive, supportive and forward-thinking environment.
• Industry Leading Designs – Work with the most advanced data center technology on the planet and be a part of emerging technology development.
• Flexibility & Remote Opportunities – Whether in-office, hybrid, or fully remote, we offer the technology and support to keep teams connected and productive.
• Career Stability & Growth – In this expanding industry, we invest in our people, providing opportunities & advancement in a stable, growing company.
• Generous Benefits Package - Switch provides comprehensive coverage for you and your family that can be tailored to fit your personal needs, and more!

Join Us & Make a Difference

This is more than a job—it’s a mission. If you’re ready to be part of a culture that values innovation, karma, and limitless potential, we want to hear from you.

Apply Now and Let’s Build the Future Together.