Principal Member of Technical Staff

Principal Member of Technical Staff – AI Systems & Infrastructure

Company:
AdsGency AI

Location:
Onsite (San Francisco City)**

Employment Type:
Full-Time

Relocation to San Francisco City Required

We Sponsor OPT / CPT / STEM-OPT / Second-Year H1B

About AdsGency AI

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 more — 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 scaling fast — now looking for a
Principal Member of Technical Staff
to architect and drive the next evolution of AdsGency's agentic infrastructure.

The Role – Principal Member of Technical Staff

As
Principal Member of Technical Staff (PMTS)
, you'll define and build the technical foundations of AdsGency's platform — from distributed agent systems to real-time analytics and AI orchestration frameworks.

You'll partner directly with the founders, shaping our technical direction, architecture decisions, and engineering principles.

This role combines
hands-on engineering excellence with long-term system design leadership
— ideal for someone who thrives at the frontier of AI, infrastructure, and scale.

What You'll Build

•
Agent Orchestration Layer:
Architect the core framework that enables multi-agent communication, autonomy, and learning across campaigns.

•
Scalable Infrastructure:
Design and optimize backend systems capable of handling millions of ad actions and data events per day.

•
Data & Compute Systems:
Build pipelines for real-time performance data, campaign analytics, and model feedback loops.

•
Core APIs & Integrations:
Lead development of API frameworks connecting AdsGency with Google, Meta, TikTok, and emerging ad networks.

•
AI Ops Layer:
Define tools and frameworks for managing agent state, tracing, and decision explainability.

•
Engineering Standards:
Establish patterns for reliability, testing, deployment, and observability across teams.

•
Tech Strategy:
Influence long-term architectural choices and mentor engineers across full stack, AI, and infra domains.

Tech Stack

Backend & Infra:
Python, FastAPI, Go, PostgreSQL, Redis, Kafka, Railway, AWS/GCP

Frontend & UX:
React, , TypeScript, Tailwind

AI Layer:
OpenAI, Claude, LangGraph, CrewAI, AutoGen

Data Systems:
Weaviate, Qdrant, Supabase, PostHog, Airflow, Docker

What You Bring

7+ years of experience in software engineering, systems design, or infrastructure leadership

Deep expertise in
backend systems
,
distributed architectures
, and
scalable data pipelines

Strong command of
Python, Go, or similar system languages

Ability to architect for performance, resilience, and simplicity in complex systems

Proven track record of leading technical initiatives from concept → production → scale

Excellent collaboration and mentorship skills — you elevate everyone around you

Strategic mindset with the ability to balance speed and robustness in early-stage environments

Bonus Points

Experience with
LLM or agent orchestration frameworks
(LangGraph, AutoGen, CrewAI)

Background in
AdTech, recommendation systems, or real-time decision systems

Built large-scale event-driven architectures or microservice systems

Previous role as
Tech Lead, Principal Engineer, or Founding Engineer
at a fast-moving startup

Deep curiosity about
autonomous systems, optimization, and AI-driven automation

Why Join AdsGency AI?

• Competitive salary + meaningful equity

• Founding-level technical ownership in a rapidly growing AI company

• Work directly with world-class engineers and founders who build fast and think big

• Define architecture that powers the next decade of advertising automation

• No bureaucracy — only building, shipping, and learning at lightspeed

• Visa sponsorship (OPT / CPT / STEM-OPT / 2nd-year H1B)

Industry:
AI & Software Development

Employment Type:
Full-Time

• Location:
  Onsite (San Francisco City)