Artificial Intelligence Engineer

AI Engineer (Agent Systems)San Francisco (hybrid / in-office preferred)Early-stage, post-PMF (~20 people)B2B SaaS / AI / Enterprise workflows$200-$300k base salaryAbout the CompanyWe’re building domain-specific AI agents that automate complex, high-stakes enterprise workflows in a regulated, trillion-dollar industry. Our systems are used in real production environments by large enterprise customers and are already driving meaningful revenue growth.The company is well-funded, growing quickly, and led by a highly technical founding team with prior startup and big-tech experience. This is a hands-on role with real ownership and direct product impact.The RoleWe’re looking for an AI Engineer to help design, evaluate, and productionize AI agent systems. This is not a model training or research role. You’ll focus on making agents reliable, measurable, and useful in real-world workflows.You’ll work across experimentation, tooling, and infrastructure to help agents reason, act, and improve over time in production.What You’ll DoBuild end-to-end evaluation frameworks to measure and improve agent performanceExperiment with modern agentic techniques (e.g. multi-agent systems, feedback loops, reasoning-from-feedback)Design and implement lightweight orchestration layers, services, and internal tools that enable agents to operate reliablyTranslate emerging research and ideas into practical production experimentsWork closely with product and leadership to ship quickly and iterate based on real customer usageWhat We’re Looking ForStrong Python experience and comfort building production systems2–4+ years of hands-on ML / AI experience, ideally in applied or product-focused rolesExperience owning systems end-to-end, from early prototypes to productionClear communicator who can reason through tradeoffs and explain decisionsHigh ownership mindset — comfortable operating with ambiguity and moving fastNice to HaveExperience at an early-stage startup (0→1 or first ~30 engineers)Background in B2B SaaS or enterprise softwarePrior founder or early engineer experienceAdvanced degree in AI/ML (can offset years of experience)What This Is NotNot a research scientist or paper-focused roleNot primarily model training or fine-tuningNot a slow-paced or low-ownership environmentWhy This RoleReal production impact with enterprise customersSignificant ownership over core AI systemsOpportunity to help define how AI agents work in high-stakes workflowsStrong growth trajectory and meaningful career upside