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Junior Software Engineer, AI-Native
Pipe17Seattle, WAPosted just now
Machine Learning Engineer
Job Description
Back to jobsNewJunior Software Engineer, AI-NativeSeattle, WAApplyOur Commitment to Our Team
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.
Curiosity is how we get better. We ask questions, challenge assumptions, and stay open to new ideas. We don’t default to “how it’s always been done.” We explore, test, and learn. That mindset helps us adapt quickly, solve harder problems, and continuously raise the bar.
We also embrace AI as a force multiplier. We believe great operators don’t compete with AI - they partner with it. We use AI to move faster, think deeper, and remove friction from our work, while still applying human juådgåment, creativity, and context where it matters most. Thoughtful use of AI is part of how we scale ourselves and our impact.
Finally, teamwork is at our core. We win together, support each other, and celebrate our shared victories. Collaboration across functions is a daily practice, not just something we talk about. We learn from each other, improve constantly, and rally around our mission: unify commerce after the buy button.
If these values resonate with how you like to work, you’ll fit right in.Junior Software Engineer, AI-Native
On-site, Seattle
About Pipe17
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.
The Role
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.
What You'll Do
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.
What You'll Learn
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
What We're Looking For
Required
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