Staff Engineer – AI-Native Commerce

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Phoenix Ecommerce Technologies

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🛍️ eCommerce

💳 Fintech

☁️ SaaS

🔥 Funding within the last year

💰 $5M Series unknown on 2025-11

eCommerce • Fintech • SaaS

Phoenix Ecommerce Technologies is an ecommerce infrastructure and payments platform built for high-volume direct-to-consumer (D2C) merchants. It provides a headless, no-code customizable checkout and funnel builder, AI-powered decline recovery and payment routing, tokenized vaulting, subscription and billing management, and analytics to optimize approvals, conversions, and lifetime value. The product emphasizes higher authorization rates, faster wallet-native checkouts (Apple Pay, Google Pay), multi-processor support, and retention automation for subscription and direct-response brands.

📋 Description

• Build AI at the core of Phoenix's storefront platform, beginning with the copy-site flagship feature • Make the AI agent exceptional and build subsequent agents • Own multiple technical domains, make architecture decisions, write production code, and own outcomes • Design agent tools and execution loops, merchant confirmation points, evals, tracing, observability, and cost tracking • Harden and expand MCP infrastructure and tool surfaces for modifying pages, components, styles, and data bindings • Build evaluation systems against real commerce experiences • Build infrastructure for agents to generate, validate, deploy, measure, and optimize storefront experiences • Design autonomous workflows with contracts, guardrails, verification, and human checkpoints • Design APIs, data models, service boundaries, and architecture for the AI-native storefront platform • Work with TypeScript/Node.js services, React applications, Postgres, MongoDB, Redis, and related systems • Advance AI-native engineering through specifications, parallel agents, verification, custom agents, skills, hooks, MCP servers, and automated infrastructure • Build deterministic fixtures, Playwright E2E tests, golden-file rendering tests, integration tests, visual regression systems, and quality gates • Own observability, tracing, SLOs, and operational reliability • Author ADRs, RFCs, and technical specifications; lead design and code reviews

🎯 Requirements

• 8+ years building production web platforms, including Staff-level impact as an architect and hands-on builder across multiple systems or technical domains • Real experience building production systems with LLMs and agents, including tool calling, schema-constrained generation, agent orchestration, autonomous workflows, or agentic SDKs • Experience proving agentic systems through evals, tracing, observability, regression testing, and/or cost and performance measurement • Demonstrated AI-native engineering practices using coding agents, specifications, parallelized agent work, and rigorous verification • Experience with custom agents, skills, hooks, MCP servers, AI code review, or similar AI-assisted engineering infrastructure • Expert-level TypeScript and Node.js • Strong full-stack fundamentals across API design, data modeling, testing, distributed systems, and production operations • Experience with relational, document, and caching systems such as Postgres, MongoDB, and Redis • Strong understanding of production reliability, including observability, tracing, SLOs, incident response, and operating systems built • Strong written technical communication, including ADRs, RFCs, and technical specifications • High ownership and builder mentality; comfortable taking ambiguous problems from architecture through production • Preferred: experience in ecommerce, storefronts, DTC, direct response, payments, or transaction-heavy environments • Preferred: Shopify, Liquid, commerce platforms, templating systems, page-builder/CMS infrastructure, high-performance rendering, MCP systems, browser automation, autonomous deployment/testing/optimization, advanced caching, NestJS, or open-source contributions