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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Senior AI Engineer — Inference & Agent Systems”. A match may be a passing mention rather than the job itself. Titles only.
424 roles across 489 listings · show every listing · page 2 of 17
…Engineer to own verification for our next-generation RDU, the reconfigurable dataflow silicon behind our machine learning and AI systems. This is a senior…
…About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create…
…As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These…
…We are looking for a Senior Software Engineer who is passionate about building foundational systems at cloud scale and transforming Azure Storage's security…
…Ensure AI and analytics solutions are grounded help improving trust, explainability, and relevance of AI outputs. Tune AI systems for retrieval latency, inference performance…
…Monitor cutting-edge industry trends including Agentic AI infrastructure patterns, LLM serving network topology evolution, MCP/A2A protocol standardization, disaggregated inference architecture, and next…
…functional documentation, and verbal presentations Experience leveraging AI tools for productivity and efficiency improvement, including Agentic AI, Copilot, LLM-based assistants, and automation frameworks…
…Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems. Conduct experiments using the latest ML technologies, analyze results, and…
…This role also requires an engineer who is ready to use modern agentic engineering practices responsibly. We expect senior engineers to apply AI-assisted…
…can turn generative AI into one of their most valuable assets. About the role As an Architect on the Inference Systems Performance team, you…
…You will partner with senior business stakeholders and engineering leaders to uncover insights, develop cutting-edge data-driven solutions, and drive initiatives that directly…
…Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts. AI…
…or agent and model benchmarking. - Experience with AI safety, security, or policy systems — including guardrails, policy engines, content filters, or responsible AI frameworks — through…
…NICE TO HAVE - Experience with AI/ML infrastructure, high-throughput inference systems, or model platform reliability. - Experience operating multi-tenant, security-sensitive platforms for…
…This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data…
…We are looking for a Senior AI Agent & Data Engineer who can bridge modern data engineering with AI agent development — designing the data foundation…
…Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping…
…Experience designing and implementing agentic AI systems that use tool calling, retrieval, planning, memory, structured outputs, multi-step workflows, or multi-agent coordination, with…
Meta designs and deploys its own AI systems. MTIA — the Meta Training and Inference Accelerator — is Meta's family of in-house AI accelerator…
…AWS senior leaders access analytics insights using agentic analytics system? The AWS Analytics Engineering is at the forefront of leveraging cutting-edge AI/ML…
…engineers to support AI workloads. Build, deploy, and operate components supporting LLM inference, agentic AI workflows, and AI services. Work with models, systems, and…
…OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related…
…AI models in production environments. Understanding of prompt engineering, agentic workflows, and orchestration frameworks. Experience with cloud platforms (AWS, Azure, GCP) and distributed systems…
…We run a stack of interconnected agentic systems — SybilClaw, yapCAD, Mechatron, Multigraph, local LLM inference, an inter-agent message bus, parametric CAD pipelines, a…
…ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with distributed systems debugging or…