Senior/Staff Software Engineer, AI

Senior/Staff Software Engineer, AICompensation: ~$200k–$300k base + significant equity

Location: San Francisco, hybrid

Employment Type: Full-timeWe’re working with a fast-growing, well-funded B2B SaaS company building AI-native software for complex, high-value professional workflows.AI is becoming a core part of the product, and the engineering team is building the software and platform capabilities needed to make increasingly capable AI systems reliable in production.The team is looking for experienced software engineers who have moved deeply into applied AI.

The strongest candidates will have a strong foundation in backend or platform engineering and have since taken meaningful ownership of production LLM, agent, retrieval, or evaluation systems.What You’ll DoDesign and build production AI systems used directly within the company’s core productOwn systems end-to-end, from architecture and implementation through deployment, monitoring, and iterationBuild infrastructure for LLM agents, retrieval, RAG, evaluations, observability, and workflow orchestrationBuild evaluation and feedback systems Make architectural decisions around models, retrieval approaches, orchestration patterns, and system tradeoffsWork closely with product, design, and domain experts to turn ambiguous problems into reliable softwareWhat We’re Looking ForStrong software engineering experience, ideally in backend, platform, infrastructure, or distributed systemsA track record of owning technically difficult systems and shipping them into productionStrong hands-on Python engineering skillsRecent experience building production systems involving LLMs, AI agents, RAG/retrieval, tool calling, or evaluationExperience in a high-growth Seed–Series C product company is strongly preferredComfortable operating in a high-ownership environment where engineers are expected to solve ambiguous problems independentlyWhy Join?You’ll join at a point where the company already has strong funding, real customers, and an established product, while AI is becoming increasingly central to the platform.Rather than working on isolated AI experiments, you’ll have significant ownership over the systems that determine whether AI actually works reliably for customers: orchestration, retrieval, evaluation, observability, backend architecture, and production reliability.About People In AIPeople In AI is a specialist recruitment partner dedicated to connecting exceptional AI, Machine Learning, Data, and Software Engineering talent with some of the most ambitious technology companies in the market.