$200K – $280KExecutiveFull Time
VP of Engineering
Peach Pilot — Atlanta, GA (Buckhead) / Hybrid
We’re not building another AI wrapper. We’re building an AI workforce that earns the right to do real work.
Peach Pilot is a multi-agent autonomous AI platform that does real work — executive briefings, real-time research, psychological profiling, compliance monitoring, and full software development. We have dozens of specialized agents today and the architecture to scale to hundreds.
Our agents don’t wait for prompts. They think, coordinate, and deliver. Built on OpenClaw, our orchestration layer lets us deploy, manage, and scale agent teams that work alongside humans — not as chatbots, but as capable coworkers.
But here’s what we’ve learned: the technology only works if the humans trust it. In regulated financial services, AI that moves fast without earning trust gets shut down. That’s why our architecture separates the agents that do the work from the governance layer that ensures every action is auditable, explainable, and human-supervised. We call this our dual-agent architecture — execution agents handle workflows while governance agents monitor compliance, flag risks, and route exceptions to human decision-makers through Mission Control.
We need the engineering leader who understands that building trust is an architecture problem, not just a product problem.
This is a foundational hire. You’ll be the first VP of Engineering at Peach Pilot, reporting directly to the CEO. There are no legacy systems to untangle, no bureaucratic layers to navigate, and no ambiguity about impact — the platform you build will be the platform.
Why now: We have a working multi-agent system with dozens of specialized agents, a clear product roadmap through mid-2026, and infrastructure supported by a dedicated team covering infrastructure, IT, and modeling. What we don’t have is the engineering leader who will take this from early platform to scalable product. That’s you.
Our advantage: Peach Pilot is a fully independent, funded startup — not a division or internal project. What gives us an unfair advantage is strategic access to sister companies spanning life insurance, payments processing, loan origination, and other financial systems businesses. Their real data, real systems, real processes, and real people accelerate our path to product-market fit so we can build and validate faster than any startup starting from cold outreach. Once we’ve proven the platform, we sell to the broader market. You’ll be building production AI for regulated financial services from day one, with the domain access that most startups spend years trying to negotiate.
Why this matters: The multi-agent AI space is moving fast, but most companies are building demos. We’re building production systems where accuracy has compliance consequences, where bias detection isn’t optional, and where “hallucination” isn’t a punchline — it’s a regulatory risk. Financial services is a relationship-driven industry where AI can transform how organizations operate, from underwriting support to client management to compliance. That’s exactly why it’s the most interesting.
The stack below reflects what our sister companies currently run in production. As an independent startup, we have the freedom to architect with the stack that best serves our platform — we’re not locked into inherited decisions. That said, Azure and this tooling give us a strong starting point with real production workloads to build against.
Layer
Stack
Cloud
Azure (Cosmos DB, AI Search, Functions, Service Bus, Blob Storage, Monitor)
AI / LLM
Anthropic Claude (Opus, Sonnet), OpenAI GPT-4o, xAI Grok-4
Data
Cosmos DB vCore + vector search, Azure AI Search (hybrid semantic + keyword)
Pipeline
Azure Functions (Python), RSS/API ingestion, NER/embedding pipelines
Orchestration
OpenClaw-based multi-agent system with cross-agent API communication
Governance
Mission Control dashboard, dual-agent architecture (execution + oversight)
Languages
Python (primary), TypeScript/Node.js
Analytics
Hex.tech, Snowflake
You’ll have a seat at the table, not a seat in the back. You report to the CEO. You’re in the room when strategy is set, not downstream when tickets are written.
The tech is real. Dozens of specialized agents running in production today, with architecture designed to scale to hundreds: Chief of Staff, Research, Insight (psychological profiling), News (real-time world knowledge), SDLC agents, Action Extractor, Execution, and more. Built on OpenClaw, our platform empowers every employee at a client organization to work alongside AI agents that handle real tasks. This isn’t a pitch deck — it’s a working system.
The architecture is built for trust. Our dual-agent architecture separates execution from governance by design. Agents do the work. Mission Control gives humans visibility and control. Every sensitive decision routes through oversight with full audit trails. In financial services, this isn’t optional — it’s the reason clients say yes.
You’ll build against real systems from day one. Through our sister companies in life insurance, payments processing, loan origination, and financial systems, you’ll have direct access to production data, live workflows, domain experts, and real compliance requirements. No waiting months for a design partner — the design partners are already in the building.
The domain is hard — and that’s the point. Regulated financial services, compliance-heavy industries, organizations where “move fast and break things” gets you a consent order. If AI can work here — with source verification, bias detection, and audit trails — it can work anywhere. Easy problems attract average engineers. Hard problems attract the best.
Atlanta is having a moment. The city’s tech scene is growing fast, cost of living is rational compared to the coasts, and Buckhead is one of the best neighborhoods in the Southeast. If you’re in Atlanta already, great. If you’d consider it, even better.
Peach Pilot is an equal opportunity employer. We evaluate candidates based on their abilities, experience, and potential — nothing else.
