Build production AI-agent and cloud-platform systems that connect LLMs to live Kubernetes infrastructure, including a permission-aware MCP server, cloud integrations, and quality pipelines for reliable answers.
Build production AI-agent and cloud-platform systems that answer questions about live Kubernetes infrastructure, including a secure MCP server, cloud integrations, and quality pipelines.
Build production AI-agent and cloud-platform systems that connect customers’ AI clients to live Kubernetes infrastructure, with a focus on secure MCP access, reliable answers, and quality evaluation.
Own enterprise sales across the Bay Area, sourcing pipeline and leading complex deals from discovery through close while translating cloud infrastructure needs into business value and measurable customer outcomes.
Build and operate distributed systems that autonomously optimize Kubernetes infrastructure, managing cloud resources in real time while keeping production workloads safe and reliable.
Build and operate distributed systems that autonomously optimize Kubernetes infrastructure, managing cloud resources in real time while keeping production workloads safe and reliable.
Build and operate the internal platform that helps engineering teams ship services through reliable CI/CD, observability, and local development tooling, while reducing infrastructure friction across the organization.
Build and operate the internal platform that helps engineering teams ship, deploy, and observe services reliably, including CI/CD pipelines, observability tooling, and production-like local development environments.
Build and operate Go backend services for the platform’s trust and accounting layer, spanning identity, billing, auditability, cloud pricing, and reporting, with ownership from design through production rollout.
Build and operate Go backend services underpinning authentication, billing, auditability, cloud pricing, and savings reporting, owning features end-to-end and resolving complex production issues in trust-critical systems.
Guide prospective customers through the technical value of cloud, Kubernetes, and AI products by delivering tailored demonstrations, assessing client needs, and partnering with sales and technical teams.
Open the French and francophone market by researching target accounts, creating personalized outbound campaigns, and building pipeline with engineering, DevOps, and cloud decision-makers.
Build public demos, integrations, and technical content while engaging developer communities and turning user feedback into product insights for Cast AI’s cloud-native and AI platforms.
Own the applied ML lifecycle for Kimchi’s model router, from training data and objectives to production-parity evaluation and live rollout, improving task success, cost, and speed across model choices.
Optimize the LLM inference stack across throughput, latency, cold starts, and cost per token, using measured experiments to improve customer performance and guide technical direction.
As the founding customer-facing engineer for the Kimchi product, you will drive adoption and revenue growth through hands-on demos, governance policy design, and customer integration support.
As the founding customer-facing engineer for the Kimchi product, you will drive its adoption by optimizing inference systems and implementing governance policies for customers.
As a Senior Software Engineer, you will design and build distributed systems for running AI agent fleets securely, ensuring observability and governance throughout the process.
As a Senior Software Engineer, you will design and implement key features for our AI platform, owning projects end-to-end and collaborating closely with product and engineering teams.
As a Senior Software Engineer, you will own the inference API, ensuring reliability and scalability while developing key features across the tech stack.
The VP Marketing will drive Cast AI's global marketing strategy, leading a diverse team to enhance product positioning, demand generation, and measurable growth in the cloud-native automation sector.
That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run.
As a Senior Software Engineer at Cast AI, you'll design and operate backend services that ensure trust and accountability in cloud infrastructure, focusing on authentication, billing, and real-time pricing.
As a Senior Software Engineer on the Platform team, you will design and maintain CI/CD pipelines, observability tools, and local development environments to enhance engineering productivity and reliability.
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