Staff AI Engineer-Agentic

Staff Engineer, Agentic AI📍 San Francisco, CA | Full-Time | On-siteA fast-growing Series A AI company ($32M backed by Eric Schmidt) is building intelligent automation systems for complex engineering workflows. Their platform connects directly into enterprise engineering software and enables AI agents to execute real-world, multi-step workflows across desktop applications used by Fortune 100 companies.Backed by leading investors and already working with companies like Tesla, BMW, Meta, and Amazon, they are hiring a Staff Engineer to lead the core agent intelligence layer powering the platform.The RoleThis person will lead the architecture and development of production-grade AI agents capable of executing complex workflows reliably, efficiently, and at scale.You’ll work directly with leadership and help define how the agent reasons, orchestrates tools, manages context, handles failures, and improves over time. The role combines deep technical ownership, hands-on engineering, evaluation infrastructure, and technical leadership.This is a highly impactful role focused on real-world agentic AI systems, not research prototypes.What You’ll Work OnAgent Performance & EvaluationOwn agent task success rate and workflow completion metricsBuild evaluation and benchmarking infrastructure for multi-step AI workflowsDefine token budgets, cost efficiency metrics, and reliability standardsImprove agent performance through systematic testing and iterationWorkflow & User UnderstandingWork closely with users and domain experts to map real-world workflowsTranslate user stories into reproducible evaluation frameworksExpand workflow coverage across increasingly complex engineering tasksTechnical LeadershipOwn core decisions around orchestration, tool use, context management, state handling, and error recoveryLead and mentor a small team of AI engineersCollaborate cross-functionally across product, integrations, and customer deploymentsStay hands-on technically while driving architectural directionIdeal Background7+ years of software engineering experienceStrong experience building production AI agents or agentic AI systemsDeep understanding of LLM orchestration, tool calling, and evaluation frameworksExperience building systems that manage multi-step workflows and operate under reliability/cost constraintsStrong Python experienceExperience leading technical direction for small engineering teamsNice to HaveExperience with desktop automation or systems-level integrationsExposure to CAD, manufacturing, robotics, or industrial software environmentsFamiliarity with agent benchmarking/evalsExperience working on enterprise AI deploymentsOpen-source or published work related to AI systemsWhy JoinWork on one of the hardest problems in applied AIBuild production AI agents operating in real enterprise environmentsHigh ownership and direct visibility into technical/product directionSmall, high-talent-density team with strong backing and rapid growthOpportunity to define the future of AI-driven engineering workflows