Staff AI Engineer

Staff AI EngineerCompensation: $270k to $300k base + equity

Location: San Francisco, CAJoin a fast-growing B2B SaaS company using applied AI to modernize complex, knowledge-intensive professional workflows.AI is a core company priority, with significant investment in platform infrastructure, evals, ingestion, observability, and production LLM systems.The RoleThis Series C Firm is hiring a Staff AI Engineer to help build the foundational AI platform behind a growing suite of intelligent products.You’ll work across AI infrastructure and product engineering, taking systems from prototype to reliable production deployment.

This is a high-autonomy IC role with significant influence over architecture, platform direction, and engineering standards.What You’ll DoBuild and scale AI platform capabilities across evals, observability, ingestion, and orchestrationDesign and improve RAG pipelines, embeddings workflows, retrieval systems, and prompt architecturesBuild tooling for testing, monitoring, versioning, and debugging LLM-powered systemsOwn AI systems from experimentation through productionPartner with product, design, engineering, and domain experts to automate complex workflowsShape technical standards and architecture across the broader AI engineering organizationWhat You’ll BringStrong Python and software engineering fundamentalsExperience shipping production AI systems using LLMs, RAG, agents, evals, NLP, or AI/ML infrastructureStrong understanding of reliability, scalability, testing, and observabilityExperience owning ambiguous, technically complex problemsA pragmatic builder mindset focused on durable production systems rather than demosWhy Join?You’ll help shape the AI foundation of a well-funded, fast-scaling SaaS company where AI is central to the product roadmap.The role offers significant technical ownership, difficult production AI problems, and the opportunity to influence architecture across the organization.About People In AIPeople In AI is a specialist talent partner connecting exceptional AI, machine learning, data, and software engineering talent with ambitious technology companies across the US.