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Open nowFirst seen 2 days ago

Staff Software Engineer - (Hybrid) - DBB

Sivad Consulting47 open roles

Where
San Francisco, California, United States
Work mode
Hybrid
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Your applicationOpen nowStaff Software Engineer - (Hybrid) - DBBSivad Consulting · San Francisco, California, United States

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  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 2 days ago

The posting

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. 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 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 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 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

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