Peach Pilot - Founding VP, AI Engineering

Peach Pilot: Founding VP, AI Engineering

Atlanta, GA (Buckhead) | Founding Team | In-office 3 days/week

Most AI companies sell tools. We transform how businesses run.

Peach Pilot builds a platform that ingests everything about how a company operates every system, every process, every signal and constructs a Company Brain: a living knowledge graph that connects people, decisions, and outcomes across the entire organization. We deploy 92 pre-built AI agents that work together across every business function, governed by humans at every critical step. The system gets smarter with every interaction.

We don't sell software licenses. We embed into a client's operation, learn their business in weeks, show them what's broken backed by their own data, and redesign their highest-impact business functions with AI. Our first vertical is insurance. Our first client engagement is already scoped and funded.

Peach Pilot is co-founded by Mario Montag (Predikto acquired by a Fortune 50; McKinsey, PwC) and JP James (Hive Financial Assets, Georgia Tech, TITAN 100). We have a working platform with live infrastructure and a proven data-to-insights methodology.

The Role

This is the most senior engineering hire we are making, and it is a builder's role first.

You will be the technical anchor for the platform, working directly alongside Mario and JP. You will write production code 80-90% of the time, own architecture decisions, and lay the foundation for the team you will eventually grow underneath you. This is not a management role with occasional code reviews. We need someone who has done a true zero-to-one build before and is energized by doing it again here.

You will be leading a development team where AI agents are driving the build not assisting it. This is a fundamental shift in how software is being developed, and it is how we are building from day one. If you have been waiting for the right environment to work this way, this is it.

In the early months, you will write code, make architecture decisions, and ship real capabilities. As the team grows under you, you will provide technical mentorship and guidance as a partner not a gatekeeper.

What You'll Own Build

The Engineering Foundation

Set the technical bar from day one code standards, testing practices, deployment pipelines, on-call expectations. Define how this team works and ships before there are five, ten, or fifteen engineers behind you. The standards you set in the first 90 days will shape the engineering culture for everyone who comes after.

The Company Brain

Architect and evolve the knowledge graph (Memgraph + Qdrant + Neo4j) that captures institutional knowledge — people, relationships, processes, decisions, and outcomes across an entire organization. Build the Reasoning Engine that operates both strategically and operationally over this graph.

Agent Orchestration Learning Loops

Own the architecture for AI agents that coordinate across business functions. Build the coordination protocol, human-in-the-loop governance, and reinforcement learning loop where agents get smarter from every outcome.

Data Ingestion at Scale

Connect to every system a client uses — CRM, email, calls, calendars, documents, chat, financial systems through our Nango-based integration layer with 700+ connectors. Ensure data quality through dedup, enrichment, classification, and validation before anything enters the knowledge graph.

The Team You'll Build

You won't hire on day one. You will hire when the work demands it and the foundation is ready to scale on. When that moment comes, you'll grow a team that ships at the bar you have set and you'll mentor engineers who have your back, not engineers waiting on your direction.

Client Technical Voice

Sit in client technical discovery sessions. Translate complex architecture decisions into language that builds trust with non-technical executives and co-founders. Be the technical credibility in the room when the conversation goes deep.

The Stack

AI/LLM: Anthropic Claude · OpenAI GPT · LiteLLM (multi-model routing) · Custom agent orchestration with reinforcement learning

Backend: Python (FastAPI) · Async agent runtime · JWT auth + multi-tenant isolation · Pydantic

Frontend: React/Next.js · TypeScript · Tailwind CSS · Plotly · D3 · Recharts

Data Graph: Memgraph · Qdrant · Neo4j · PostgreSQL · Redis

Integrations: Nango (700+ connectors)

Infrastructure: Google Cloud Platform (Cloud Run, GCE, Firebase) · Azure (Cosmos DB, AI Search) · GitHub Actions CI/CD · Docker

We are cloud-agnostic across GCP and Azure. The right hire will help shape how we deploy and scale across both.

Who You Are

10+ years of experience — and Still in the Code. Ten or more years of senior engineering, architecture decisions, and shipped products not from the sidelines, in it. You are the technical anchor the rest of the team builds around.

A True Zero-to-One Builder. You have taken a platform from nothing to production and scaled it. This is our prim…