🧠 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, Next.js, 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)