Staff Software Engineer - (Hybrid) - DBB

Job DescriptionJob DescriptionStaff Software Engineer – Hybrid (San Francisco, CA) – DBBSalary range: $200k to $250kWe are looking for a Staff Software Engineer with 8+ years of experience to join our organization as the technical anchor of a small, high-impact engineering team building AI agents that accelerate clinical trials. You'll be a hands-on staff-level IC who writes and reviews code daily while mentoring three junior engineers and helping them understand what great engineering looks like. You'll work cross-functionally with product, customer success, and founders to ideate and ship zero-to-one products for a platform already used by 400+ research sites. This is a rare opportunity to shape engineering culture, processes, and architecture from the ground up at a seed-stage companyResponsibilitiesOwn and build AI-powered products end-to-end — from ideation through shipping — including agentic workflows and LLM-powered features with production evalsServe as the technical lead and mentor for a team of three junior engineers, establishing best practices for code reviews, engineering processes, and team workflowsPartner closely with the CTO, PM, and customer success to understand customer needs and shape new zero-to-one productsArchitect and deliver full-stack applications across frontend, backend, infrastructure, and data pipelinesWork experience8 - 15 years of experience in full-stack product engineering, building AI/LLM-powered featuresHas been the tech lead or de facto technical anchor on an engineering team: led large projects and coordinated other engineers' work.Experienced Full-stack product engineer who can own a feature end-to-end (frontend, backend, infra). Backend-leaning generalists are fine.Mentor and bar-raiser for junior engineers: can establish best practices for code quality, code review, and engineering process on a team that hasn't seen what good looks like yet.Product engineering background with hands-on experience shipping zero-to-one, customer-facing products (not deep infra).Recent (last 1–2 years) hands-on experience shipping LLM-powered features or AI agents in production.Partners cross-functionally with PM, customer success, and founders to understand customer needs and ideate zero-to-one productsHas set up AI evals or LLM observability in production (LangSmith, Braintrust, W&B or similar); experience with multi-step agentic pipelines.PreferredMix of startup experience (seed to Series B, founding engineer or early hire) and time at a larger company where they saw engineering at scale.Genuine interest in bio, life sciences, or healthcare.EducationCS degree or equivalent work experience