Artificial Intelligence Engineer

Senior Software Engineer – Enterprise AIGlobal Infrastructure and Platform 📍 Onsite – Palo Alto, CA (5 days/week)About the TeamOur client's Enterprise AI team is their internal AI enablement engine. They evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. Operating at the intersection of applied AI, distributed systems, and enterprise operations, this team's mission is to make a top-tier technology company more efficient — one AI-powered workflow at a time.This is a high-impact, high-autonomy team where you'll work closely with engineering, product, and operations teams to bring AI capabilities to life.About the RoleWe are hiring a Senior Software Engineer to design, build, and operate the platform and backend systems that power our client at scale. You'll own core infrastructure — from Kubernetes and cloud-native services to APIs and developer tooling — and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code, design systems, lead code reviews, and make the broader engineering organization more effective.What You'll DoOwn end-to-end delivery of major platform initiatives, from design through deployment and post-launch successOwn Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestrationDesign, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performanceDrive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practicesCollaborate across Product, AI, and Security teams to align architecture with business objectivesServe as a mentor and force multiplier, guiding engineers through architecture decisions, trade-offs, and deliveryPartner with leadership to align engineering strategy with product objectives and the technical roadmapWhat We're Looking For6+ years of software engineering with a deep backend and infrastructure focusStrong programming skills in Python and/or Go — you ship production code, not just scripts and configsDeep, hands-on Kubernetes experience building and operating clusters, not just deploying to themProven experience designing and operating distributed systems in productionCloud-native fluency across AWS and/or GCP — compute, storage, IAM, networking, and managed servicesExperience with infrastructure-as-code (Terraform or similar) and CI/CD pipelinesFamiliarity with applied AI tooling and patterns — agentic AI tools (e.g., Claude, LiteLLM), AI gateways, and agent frameworks — and the ability to build backend services that integrate with themStrong system design and architectural judgmentClear communicator who partners well across product, security, and AI teamsNice to HaveObservability stacks — Prometheus, Grafana, Datadog, OpenTelemetryMulti-cloud or hybrid infrastructure experience (AWS, GCP, on-prem)Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC, OPA)Service mesh or platform-as-a-service design experienceTrack record of improving engineering productivity at scale