Staff Software Engineer DBB

Staff Software Engineer Hybrid (San Francisco CA) DBB

Salary range: $200k to $250k

We 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. Youll 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. Youll 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 company

Responsibilities

• Own and build AI-powered products end-to-end from ideation through shipping including agentic workflows and LLM-powered features with production evals
• Serve as the technical lead and mentor for a team of three junior engineers establishing best practices for code reviews engineering processes and team workflows
• Partner closely with the CTO PM and customer success to understand customer needs and shape new zero-to-one products
• Architect and deliver full-stack applications across frontend backend infrastructure and data pipelines

Work experience

• 8 - 15 years of experience in full-stack product engineering building AI/LLM-powered features
• Has 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 hasnt 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 12 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 products
• Has set up AI evals or LLM observability in production (LangSmith Braintrust W&B or similar); experience with multi-step agentic pipelines.

Preferred

• Mix 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.

Education

CS degree or equivalent work experience