Staff Engineer - AI-Driven Health Platform + Equity

Doist; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Doist is seeking a Staff Engineer to own the technical quality bar across real‑time systems, AI‑driven pipelines, and a high‑velocity web application. You’ll shape architecture, testing standards, and deployment practices while guiding a hands‑on team of engineers through scalable design choices.

The role emphasizes deep ML/AI engineering expertise, strong system design judgment, and a track record of mentoring others, with a focus on reliability and performance in a fast‑moving startup

Qualifications

• Staff‑level backend or full‑stack experience with ownership of high‑traffic systems.
• Extensive depth in AI/ML engineering, production ML/LLM systems, and failure mode analysis.
• Strong track record making architectural decisions at scale with measurable outcomes.
• Good judgment on build vs buy, infrastructure investment, and appropriate rigor for different systems.
• Experience setting and enforcing engineering standards that accelerate, not hinder, teams.
• Proactive, fast, and able to drive decisions with high standards and clear ownership.
• Hands‑on contributor who writes and reviews code and mentors others.

Responsibilities

• Own the technical quality bar across architecture, testing, observability, security, and performance.
• Make architectural calls on service boundaries, data models, and AI infrastructure; document decisions.
• Own build vs buy decisions; evaluate core vs vendor dependencies and revisit as facts change.
• Build the engineering harness, tooling, automation, CI, environments, and safe deploys.
• Lay the foundation for mission‑critical systems with reliability, monitoring, and safety properties.
• Tackle hard problems, including production incidents and redesigns, while maintaining system stability.
• Mentor engineers, raise design standards, and grow the team’s capabilities.
• Shape the technical roadmap with the founders; articulate sequencing and risk for technology and AI.

Skills

Staff‑level backend/full‑stack

AI/ML engineering depth

Architectural decisions at scale

Build vs buy judgment

Engineering standards

Cutting edge software engineering

Team leadership / bar raiser

Hands‑on coding & reviews

Ambiguity tolerance

ML/AI product mindset

Tools

Python

TypeScript

FastAPI

Next.js

Postgres

Job description

Doist is seeking a Staff Engineer to own the technical quality bar across real‑time systems, AI‑driven pipelines, and a high‑velocity web application. You’ll shape architecture, testing standards, and deployment practices while guiding a hands‑on team of engineers through scalable design choices.

The role emphasizes deep ML/AI engineering expertise, strong system design judgment, and a track record of mentoring others, with a focus on reliability and performance in a fast‑moving startup