Senior Member of Technical Staff

AdsGency AI; San Francisco (CA); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive salary + meaningful equity

Culture of speed and autonomy

Direct collaboration with founders

Job summary

AdsGency AI is seeking a Senior Member of Technical Staff in San Francisco to help build an AI-driven infrastructure that redefines advertising automation. In this role, you'll design and architect systems that utilize multi-agent technology, working closely with founders and engineers.

The ideal candidate will have at least 5 years of software engineering experience, strong backend engineering skills, and an ability to design scalable solutions. Competitive salary and equity offered.

Qualifications

• 5+ years of experience in software engineering or systems design.
• Prior work in early-stage startups or as founding engineer.
• Deep proficiency in backend engineering (Python, FastAPI).
• Strong knowledge of distributed systems, data models, and service orchestration.

Responsibilities

• Design, architect, and scale systems that orchestrate multi-agent ad automation.
• Build the orchestration layer that enables multi-agent communication for ad operations.
• Design and scale APIs powering campaigns and agent workflows.
• Architect real-time data systems tracking campaign performance and user behavior.

Skills

Software Engineering

Backend Engineering (Python, FastAPI)

Distributed Systems

Data Models

Service Orchestration

LLM Frameworks

Real-time Analytics

Tools

Redis

PGVector

PostHog

Sentry

Docker

React

Next.js

TypeScript

Tailwind

Job description

Senior Member of Technical Staff – Full Stack / AI Systems

Company: AdsGency AI

Relocation to San Francisco City Required

Applicants must be permanently authorized to work in the United States without current or future employer-sponsored visa support.

We’re AdsGency AI — an AI-native startup building a multi-agent automation layer for digital advertising.

Our system uses LLM agents to autonomously launch, scale, and optimize ad campaigns across Google, Meta, TikTok, and beyond — no human marketer required.

Our mission: build the operating system where AI runs performance marketing better than humans ever could.

We’re backed by top-tier investors and moving fast. This is your chance to join early — and help shape both the architecture and culture of the company that’s reimagining the $800B ad industry.

The Role – Senior Member of Technical Staff (SMTS)

As a Senior Member of Technical Staff, you’ll be one of the core builders of AdsGency’s AI-driven infrastructure — designing, architecting, and scaling systems that orchestrate multi-agent ad automation across global platforms.

You’ll work shoulder-to-shoulder with founders and senior engineers on everything from real-time pipelines to LLM orchestration layers, ensuring that our stack is both fast and resilient.

You won’t just write code — you’ll define how AdsGency scales from startup to global platform.

What You’ll Build

• LLM Agent Infrastructure: Build the orchestration layer that enables multi-agent communication, memory, and decision-making for ad operations.
• Core APIs & Microservices: Design and scale APIs powering campaigns, analytics, and agent workflows (Python / FastAPI).
• Data Pipelines & Observability: Architect real-time data systems tracking campaign performance, budget optimization, and user behavior.
• Internal Dev Tools: Develop debugging, testing, and tracing tools for agent reliability and autonomy.
• Frontend & Dashboards: Contribute to React/Next.js UIs for campaign monitoring and operator collaboration.
• AI + Ad Integrations: Integrate across ad APIs (Google, Meta, TikTok) and optimize agent workflows to deliver measurable ROI.
• System Architecture: Lead design reviews, set technical direction, and mentor junior engineers.
• Frontend & UX: React, Next.js, TypeScript, Tailwind
• Data & Tools: Redis, PGVector, PostHog, Sentry, Docker

What You Bring

• 5+ years of experience in software engineering or systems design.
• Prior work in early-stage startups or as founding engineer.
• A builder mindset — fast, detail-oriented, and allergic to over-engineering.
• Startup DNA: you debug, iterate, and ship with speed and ownership.
• Deep proficiency in backend engineering (Python, FastAPI).
• Strong knowledge of distributed systems, data models, and service orchestration.
• Ability to design from first principles — not just build features but shape frameworks.
• Experience with scalable infra (microservices, event-driven, or serverless systems).
• Experience with LLM or multi-agent frameworks (LangGraph, CrewAI, AutoGen).
• Knowledge of real-time analytics, budget optimization, or ML ops.
• Strong sense of product taste and ability to translate technical depth into business impact.

Benefits

• Competitive salary + meaningful equity.
• Core ownership in a fast-scaling AI company.
• Work directly with founders and top-tier engineers.
• Culture of speed, autonomy, and craftsmanship — no corporate fluff.
• Build systems that redefine how the world runs advertising.