Member of Technical Staff

People In AI

San Francisco (CA)

On-site

USD 250,000 - 310,000

Full time

42 hours ago
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Benefits offered by this job

High ownership
AI-first mission
Greenfield systems
Strong culture

Job summary

People In AI is hiring a Member of Technical Staff in San Francisco to build AI-powered features across the stack. You will own both backend orchestration and frontend delivery, shipping AI-first capabilities while scaling platforms for production use.

You’ll collaborate with product, design and ML teams, shaping architectural direction and best practices. This role emphasizes hands-on leadership and delivering high-impact systems end-to-end.

Qualifications

  • Strong software engineering fundamentals and backend design skills.
  • Experience integrating LLMs or building AI-powered features.
  • Familiarity with RAG, vector databases, and prompt engineering.
  • Deep experience with TypeScript, React, Node.js, and AWS.

Responsibilities

  • Build full-stack systems that integrate applied LLM features into core product experiences.
  • Design and scale backend services for RAG pipelines, vector search, and AI orchestration.
  • Develop intuitive frontend interfaces for AI copilots using modern React patterns.
  • Lead architecture and implementation of AI-powered workflows across teams.
  • Strengthen internal tooling for prompt iteration, evaluation, and observability.
  • Collaborate closely with product, design, and ML teams to bring features to life.
  • Mentor engineers and influence engineering best practices across the org.

Tools

TypeScript
React
Node.js
AWS
LLM frameworks
RAG pipelines
Vector databases
CI/CD

Job description

$250,000 - $310,000 base + strong equity

We're partnering with a mission-led SaaS startup that is redefining how the audit and advisory world works, using applied AI to modernize one of the most manual, overlooked industries.

This Series B company, with a Series C on the horizon, is backed by world-class investors and undergoing a full-stack rebuild. AI copilots and intelligent automation are already in flight, with strong executive alignment and a mandate to transform legacy workflows into intuitive, intelligent systems.

About the Role

As a Member of Technical Staff, you will play a lead role in building the infrastructure and user-facing systems that power intelligent professional tools. From backend orchestration to frontend delivery, you'll help ship AI-first features to production, scale internal platforms, and set technical direction. This is a hands-on, high-impact role at the intersection of AI product development and robust software engineering.

What You'll Do
  • Build full-stack systems that integrate applied LLM features into core product experiences
  • Design and scale backend services for RAG pipelines, vector search, and AI orchestration
  • Develop intuitive frontend interfaces for AI copilots using modern React patterns
  • Lead architecture and implementation of AI-powered workflows across teams
  • Strengthen internal tooling for prompt iteration, evaluation, and observability
  • Collaborate closely with product, design, and ML teams to bring features to life
  • Mentor engineers and influence engineering best practices across the org
What You'll Bring
  • Deep experience with TypeScript, React, Node.js, and AWS
  • Strong software engineering fundamentals and backend design skills
  • Experience integrating LLMs or building AI-powered features
  • Familiarity with RAG, vector databases, and prompt engineering
  • Track record of taking complex systems from concept to production
  • Bonus: experience with evaluation frameworks, observability, or ML infra
  • TypeScript (React, Node.js)
  • Open-source LLM frameworks and orchestration tooling
  • CI/CD, observability, and cloud-native infrastructure
Why Join?
  • High ownership, lead end-to-end systems from infra to UI
  • AI-first mission, reshape a legacy industry with modern tools
  • Engineering rebuild, build greenfield systems on a clean, modern stack
  • Strong culture, smart and humble teammates who move fast
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