Junior Software Engineer, AI-Native

At Pipe17, our values aren’t just words on a wall. They’re how we operate every day.

We are a high-performance team built around ownership, urgency, curiosity, and a strong bias for action.

We set bold goals, hold ourselves accountable, and move fast to solve customer problems. Every team member owns their decisions and drives outcomes. No one waits for permission.

We operate with urgency, but not recklessly. We focus on what matters most, take initiative, and course-correct quickly when needed. We value people who speak up, follow through, and take pride in their work.

Pipe17 is building the AI operating system for commerce. Our platform connects brands, retailers, marketplaces, warehouses, ERPs, and shipping providers to automate order operations at scale, processing millions of commerce events a day so customers eliminate manual work, cut complexity, and move faster. We build software that doesn't just help people do the work, it does the work.

We're hiring an AI-native Junior Software Engineer to build software with AI across two fronts: internal tools that make our team faster, and customer-facing product. This is not a pure internal-automation role. You'll automate the messy work that slows engineering and the business down, and you'll also ship product features and agents that customers use. We want the balance of both.

You already build with AI. You reach for coding agents and LLMs the way other engineers reach for a framework, and you have a track record of shipping real things with them, not just experimenting. AI does the heavy lifting on the platform layer; your job is to point it at the right problems and ship.

Interview note: part of the process is a live working session. You'll screen share and build with the AI tool of your choice, then we'll program together. We can provide an Anthropic API key for the interview (Claude Code, Cursor, or others) if you'd rather not use your own.

• →Build software with AI across two fronts: internal tools that make the team faster, and customer-facing product features and agents.
• →Design, build, and maintain automations, lightweight APIs, CLI tools, and web utilities in JavaScript / TypeScript.
• →Build and integrate agents and AI-powered features into real workflows and the product, using Claude, Claude Code, and other LLM APIs.
• →Implement and manage MCP / API integrations between internal systems and external services (GitHub, Jira, HubSpot, NetSuite, or internal APIs).
• →Partner with product and platform engineering to turn messy problems into shipped software.
• →Troubleshoot integration and system issues across environments; write clear docs and onboard teammates to what you build.
• →Take part in design reviews, stand-ups, and sprint planning; contribute to testing for tools, APIs, and product.

Hands-on experience with:

• Node.js / TypeScript for automation, APIs, product features, and developer tooling
• REST / GraphQL APIs for integration and data sync
• Building with AI: Claude, Claude Code, Codex and other LLM-based systems and agents
• Infrastructure scripting and configuration (AWS, Terraform, Docker)
• Authentication and authorization flows (OAuth2, API keys, JWT)
• CI/CD automation (GitHub Actions or similar)
• Cloud deployments (AWS Lambda, ECS, or similar containerized services)
• Observability and monitoring (CloudWatch, Datadog, Grafana)
• Secure, SOC 2-aligned development practices

• 1-2 years out of college in software engineering, with a strong CS background.
• A demonstrated track record of building software with AI: agents, tools, or product you've actually shipped, not just tried.
• Think deeply about customer challenges and problems
• Fluency in JavaScript / TypeScript.
• Experience building tools or automations and integrating APIs (REST, GraphQL, or webhooks).
• Daily fluency with AI developer tools (Claude Code, Cursor, GitHub Copilot, or similar).
• Familiarity with Git, CI/CD, and a cloud platform (AWS or similar).
• Strong problem-solving, communication, and ownership. You ask why, challenge assumptions, and love to automate messy problems.

• SQL / NoSQL databases
• Containerization (Docker) or serverless platforms
• Python or Bash scripting
• Interest in e-commerce or logistics tech

Pipe17 powers the flow of orders and shipments for some of the fastest-growing brands in e-commerce. You'll build the tools that make our engineers faster and the product features customers feel, and you'll see how AI-assisted development scales in a real production SaaS environment.

We value clarity, curiosity, and ownership. You'll join a small, high-agency team where your work ships weekly and lands in both our internal systems and the product our customers use. We build with AI first, and we expect you to do the same.

Pipe17 is an equal opportunity employer. We celebrate diversity and are committed to an inclusive environment for all employees.

Pipe17 is the AI-native Enterprise Order Operations Platform for brands and 3PLs. We replace the fragmented stack of iPaaS, middleware, and legacy OMS with one unified operational layer that manages orders, inventory, products, fulfillment, and exceptions across every channel and partner.

With 300+ managed connectors, AI-powered workflows, and an industry-first MCP Server for agentic commerce, Pipe17 lets brands go live in weeks, scale into new channels in days, and run post-checkout operations without developer dependency or systems integrators.

Our customers reduce operational costs by up to 85%, cut fulfillment errors by 99%, and launch new channels in days instead of months. Pipe17 is trusted by enterprise brands including Estée Lauder, Allbirds, e.l.f. Beauty, Made In Cookware, Wyze, Olly, Black Rifle Coffee Company, and Dude Wipes, as well as leading 3PLs including Ryder, FedEx, and Barrett Distribution.

Pipe17 is a venture-funded software company headquartered in Seattle, WA with a significant presence in the San Francisco Bay Area. The company is backed by GLP Capital Partners, a leading investor in ecommerce logistics, and recently announced its Series A funding to accelerate growth and category leadership.