PEACH PILOT
Enterprise AI for Everyone, Not Just Engineers
Senior Full-Stack Engineer (User Experience & Platform)
Atlanta, GA (Buckhead) / Hybrid | Reports to VP of Engineering / CEO | Early Engineering Team
The Company
Peach Pilot is an enterprise AI operating system. The platform deploys interconnected AI agents into enterprise workflows, agents that share context, coordinate across functions, and compound in intelligence over time. We frame AI as a collaborator that augments human capability, not a tool that replaces it.
95% of enterprise AI pilots fail. The failure is not technical. It is human. Employees don’t trust AI output. They ignore it, redo the work manually, or resist quietly. Every AI vendor sells capability. Nobody sells trust and adoption. Peach Pilot does.
The platform is designed for everyday users. No coding, no configuration, no IT dependency. If someone can send an email, they can use Peach Pilot. We combine the AI operating system with Forward Deployed Engineers who embed with teams and guide organizations through adoption, not by building systems and walking away, but by helping every employee trust and use AI in their daily work.
Peach Pilot is a fully independent, funded startup headquartered in Buckhead, Atlanta. Co-Founded by Mario Montag (CEO, previously founded Predikto, an ML company acquired by a Fortune 50; former McKinsey and PwC) and JP James (Co-Founder, Chairman of Hive Financial Assets, Georgia TITAN 100, teaches AI at Georgia Tech, and has scaled multiple companies to $100M+ in revenue).
The technology was never the problem. Adoption is the problem. The companies that figure out how to make their people trust and use AI will win. The ones that don’t will keep buying pilots that fail.
The Role
You will own everything the user sees and touches in Peach Pilot. This is the most important engineering surface in the company. Our users are CEOs, operations leaders, and business professionals. They have never used a terminal, don’t know what an API is, and are skeptical about AI. Your job is to make them trust it.
We call this the “Waymo Moment.” The experience of getting into an autonomous vehicle, being nervous, and five minutes later feeling completely at ease because everything just works. That is what you are building. Every interaction, every screen, every transition needs to earn trust and feel effortless. If the interface creates even a moment of doubt, the AI behind it doesn’t matter.
This is a senior, full-stack role with heavy emphasis on the front-end and user experience layer. You will also integrate third-party tools and libraries to deliver rich document visualization, interactive dashboards, mini-app generation, and seamless file handling, all behind a conversational interface that hides the complexity. You are the front-end team, the UX thinker, and the integration engineer, all in one.
You obsess over the details that non-technical users notice: loading speed, button placement, copy, transitions, micro-interactions. You know that trust is built in the small things. You have built products that your parents could use. You understand that “easy to use” is the hardest thing to engineer. And you think about how the AI should communicate, not just what it says, but how it appears, how it loads, how it handles uncertainty. You are building the AI’s body language.
This is a ground-floor opportunity. You will be one of the first engineers on the team, and your fingerprints will be on everything users touch.
What Makes This Different
- You are joining a proven founder’s second company. Mario built, scaled, and exited an ML company to a Fortune 50. This is not a first-time founder learning on the job. This is a repeat founder with enterprise sales muscle, domain expertise, and investor relationships already in place.
- The co-founding team brings deep operating experience. JP James teaches AI at Georgia Tech, has scaled multiple companies to $100M+ in revenue, and brings deep fintech relationships across insurance, payments, and lending. You are joining a founding team that already has the domain credibility and network to open enterprise doors.
- You own the layer that determines whether Peach Pilot wins or loses. The trust layer is not a feature. It is the product. 95% of AI pilots fail because the technology was built for engineers. You are building the fix. If users don’t trust what they see, nothing else matters.
- You’ll build against real systems from day one. Through strategic relationships with sister companies in insurance, payments, lending, and financial systems, you have direct access to production data, live workflows, domain experts, and real compliance requirements. No waiting months for a design partner.
- Your work ships to real users fast. First customers are onboarding now. Your work will be in front of real users within weeks, not quarters. This is not a team where you build for six months before anyone sees what you’ve made.
- The UX problem is genuinely hard. You are making enterprise AI trustworthy for non-technical humans in regulated industries. Easy problems attract average engineers. Hard problems attract the best.
What You’ll Do
Build the Trust Layer (The User-Facing Platform Experience)
- Own the entire user-facing interface: chat, document viewer, dashboards, onboarding flows. Build the side-by-side layout with conversational AI on the left and rich document/report preview on the right.
- Design and implement progressive disclosure. The system reveals capability gradually, never overwhelming the user. The first five minutes of a new user’s journey must be guided, conversational, and zero friction. Start simple, prove value, expand capability.
- Build proactive trust signals into every interaction. Confidence scores, validation badges, “show your work” panels that build trust through transparency. Error handling that maintains trust: when something goes wrong, the UI communicates clearly and recovers gracefully.
- Create the adaptive onboarding experience. Personalized based on the user’s role, industry, and comfort level. Channel setup integration across Teams, Telegram, Slack, and email.
Document Visualization & Editing
- Build rich in-browser rendering for Word, Excel, PowerPoint, PDF, images, and diagrams. Integrate third-party document processing and rendering libraries (PDF.js, SheetJS, Reveal.js, Mermaid, or similar) into a cohesive experience.
- Implement chat-driven editing: user describes changes in conversation, preview updates in real time. Version history with visual diffs. One-click export pipeline generating .docx, .pdf, .xlsx, .pptx from platform content.
Interactive Dashboards & Data Visualization
- Integrate professional charting libraries (Plotly, Chart.js, D3, Recharts, or similar) with interactive features: hover, filter, drill-down, all generated from natural language requests.
- Build data validation UI: inline confidence indicators, flagged discrepancies, approval workflows. Saved dashboards with scheduled delivery.
Mini-App Generation & Templates
- Build the framework for generating lightweight interactive applications from conversational prompts: CRM trackers, event RSVP forms, data entry tools, status dashboards. Plug-in architecture for third-party components and widgets.
- Build the template management system for legal docs, reports, and business documents. Company branding engine that automatically applies client colors, logos, and fonts to all generated output. Template versioning and admin management.
File & Data Handling
- Own the file pipeline end to end. Drag-and-drop ingestion of Excel, CSV, PDF, and images. File format detection and intelligent routing to appropriate processing and rendering engines. Cloud storage integration with OneDrive, Google Drive, and SharePoint. Secure file handling with encryption, access control, and audit trails on every interaction.
What You’ll Build With
The platform is tool-agnostic by design. The stack below reflects current production infrastructure and target architecture. You have the freedom to recommend and implement what best serves the platform, but this gives you a strong starting point with real production workloads to build against.
Layer
Current Stack
Cloud
Azure (Azure AD, Key Vault, Cosmos DB, Functions, DevOps)
Frontend
React/Next.js, TypeScript, Tailwind CSS
Backend
Python, Node.js/TypeScript
AI / LLM
Anthropic Claude, OpenAI, Google Gemini, OpenRouter (multi-model, swappable)
Document Processing
PDF.js, SheetJS, python-docx, Reveal.js, Mermaid
Data Visualization
Plotly, Chart.js, D3, Recharts (or similar)
Databases
PostgreSQL, Neo4j (graph), Vector DB
Real-time
WebSockets, Server-Sent Events
Infrastructure
Docker, Kubernetes, CI/CD via Azure DevOps
Enterprise UX
Embedded in existing tools (Teams, Slack, Telegram, OneDrive, Google Drive)
Who You Are
You Have
- 7+ years of software engineering experience with significant full-stack work and deep expertise on the front-end.
- Expert-level front-end development. React (or Next.js/Vue), TypeScript, modern CSS/Tailwind. You build polished, consumer-grade interfaces, not developer tools.
- Deep experience building for non-technical users. You have shipped products where trust, clarity, and ease of use were the primary engineering challenges. You know that progressive disclosure, graceful error handling, loading states, and accessibility are not nice-to-haves.
- Track record integrating third-party libraries and tools into cohesive product experiences. You know when to build vs. buy and how to stitch components into something seamless.
- Experience with real-time UI. WebSockets, Server-Sent Events, optimistic rendering. You have built interfaces that update live as data flows in.
- Experience working with AI/LLM APIs. You have built interfaces that present AI output elegantly, handle streaming responses, and manage the UX of uncertainty and latency.
- Backend proficiency. Python and/or Node.js/TypeScript for API development. You can build the endpoints your front-end needs, not just consume them.
- Cloud infrastructure experience. Azure preferred, AWS acceptable.
Even Better If You Have
- Experience building AI-powered products where trust and transparency are core to the UX.
- Experience with document processing and rendering in the browser (PDF, Office formats, charting).
- Deep experience with data visualization libraries (D3, Plotly, Chart.js, Recharts).
- Experience with document generation pipelines (creating Word, PDF, PowerPoint programmatically).
- Experience with design systems and component libraries at scale.
- Background in human-computer interaction (HCI) principles or behavioral design.
- Familiarity with enterprise software requirements (SSO, RBAC, audit logging, multi-tenancy).
- Experience with graph databases (Neo4j) and knowledge graph visualization.
- Familiarity with the Microsoft Azure ecosystem (Azure AD, Cosmos DB, Azure Functions).
- Experience at an early-stage startup, comfortable with ambiguity and owning large surface areas.
What We Don’t Require
- A specific degree. We care about what you’ve built, not where you studied.
- Big-company pedigree. Startup experience is often more relevant.
- A design title. If you build interfaces that non-technical users love, that matters more than any credential.
Compensation & Benefits
- Base salary: $150,000 to $200,000 (commensurate with experience)
- Equity: Meaningful equity reflecting your role as an early engineer shaping the product from the ground up.
- Benefits: Comprehensive health, dental, and vision insurance; flexible PTO; conference and learning budget.
- Location: Hybrid in Buckhead (Atlanta, GA). We value in-person collaboration for the early team, with flexibility built in.
