We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Peach Pilot: Senior Engineer, Contract at Peach Pilot. . Location: Remote, United States. Peach Pilot: Senior Engineer, Contract Remote (US)  |  Full-Time Contract  |  3-6 Month Engagement  |  Founding-Team Scope  |  Contract-to-Hire Optional. . 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 a contract engagement to add senior engineering velocity to our founding team while we run our perm leadership search. We need an experienced engineer who can come in remotely, ship production code from week one, and pair directly with Mario and our fractional PM on the build.. . The work is full-stack with founding-team scope — knowledge graph integration, agent orchestration surface area, ingestion pipelines, and the application layer that exposes all of it to clients. This is not a staff-aug seat. The right person operates like a founding engineer and is energized by ambiguous, high-leverage work.. . We are building agentic-first software. AI agents are not a feature we are adding — they are the foundation we are building on from day one. You will be writing code in an environment where AI agents are driving the build, not assisting it. If you have been waiting for the right environment to work this way, this is it.. . Open to a perm conversation if the engagement clicks for both sides — but the engagement stands on its own value without that conversion.. . What You'll Own & Build. . Pipeline & Application Layer. . Pick up live work across data ingestion, knowledge graph integration, and the application layer. Ship discrete features end-to-end without an extensive ramp. You should expect to be in production code within the first week.. . Agent Surface Area. . Contribute to the front-end and runtime layer that surfaces AI agent activity, recommendations, and human-in-the-loop governance to client users. Make complex agent behavior legible to non-technical executives — agents don't operate in the background, they communicate, and your work shapes whether that communication earns trust or loses it.. . Cross-Stack Velocity. . Move freely between Python backend, TypeScript frontend, and infrastructure work as the build demands. The right person doesn't wait for someone else to own a layer.. . Engineering Standards. . Match the bar Mario and JP are setting on code quality, testing, and deployment. Leave the codebase better than you found it.. . 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. . . 7+ Years of Senior Engineering.. You have shipped production systems at scale across multiple roles. You operate independently and have founding or early-team experience in your background.. . Full-Stack and Comfortable Everywhere.. Strong Python backend and strong React/TypeScript frontend. You don't pick a side.. . AI Production Experience.. You have built or contributed to production LLM applications. You understand streaming responses, model uncertainty, and the realities of agent systems.. . Knowledge Graph or Data-Intensive Production.. You have worked with Memgraph, Neo4j, Qdrant, or comparable systems in production. You think in graphs and entities, not just rows.. . Contract-Ready and Full-Time.. US-based, available 40 hours per week, comfortable operating under a contract structure. This is a full-time contract engagement, not a fractional or moonlight seat. Open to perm conversion if the engagement goes well — but able to operate professionally without that as the goal.. . Bias Toward Shipping.. You move on the work in front of you. You don't wait for clarity that hasn't arrived yet.. . . What Makes This Different. . You are joining a proven founder's second company with established domain credibility. We have a working platform with live infrastructure and a first client engagement already in motion. You will have access to production data, live workflows, and real compliance requirements from day one.. . Every engagement makes the platform smarter. Every client's data enriches the knowledge base for the next one. You're not building features for a backlog — you're building the engine that transforms how companies operate.. . We pay market rates for senior contract engineering. Conversion to full-time is on the table if the fit is right for both sides.. . Engagement & Compensation. . . Hourly Rate: Negotiable, market-aligned for senior contract engineering. . Engagement Length: 3-6 month initial contract. . Conversion: Optional full-time conversion based on mutual fit. . Hours: Full-time, 40 hours per week. . Location: Remote, US-based.