Software Engineer (AI-Native)

The Role

We’re hiring a software engineer who has figured out what most engineers are still catching up to: how to use AI to build enterprise-grade software dramatically faster - without sacrificing quality.

To be clear about what this is and isn’t: this is not an ML research role, and it’s not a prompt-engineering role. It’s a software engineering role for someone with real fundamentals who has made AI a core part of how they build - someone who directs coding agents, runs parallel workstreams, and ships in a week what used to take a team a quarter.

This is a high-impact individual contributor role on a small, elite team, reporting directly to our Head of Engineering. Our whole engineering organization is being built around AI leverage - you won’t be the odd one out fighting for tooling budget. You’ll be a founding example of how we work.

We’re deliberately not posting a checklist of frameworks and years of experience. We care about what you can build and how fast you learn, not what your last title was - we’ll calibrate level, scope, and compensation to you.

What You’ll Do

• Ship enterprise-grade features end to end - from ambiguous product problem to production - at a pace that surprises people, with AI in the loop at every step
• Direct coding agents (Claude Code, Cursor, Codex, or whatever wins next) as a force multiplier: parallel workstreams, asynchronous agents finishing work while you sleep, and your judgment steering all of it
• Own the quality bar that makes speed sustainable: architecture, code review, testing, and guardrails that keep AI-generated code enterprise-ready - our customers include Fortune 15 companies
• Work across the full stack of a modern web platform on AWS, including the agentic AI features inside our product
• Help write the playbook for AI-augmented development at OnRamp - the workflows, tooling, and standards that make every engineer here faster
• Partner tightly with Product and talk directly with customers, so what you build maps to real value

Who You Are

• A software engineer first. You have strong fundamentals - system design, data modeling, APIs, debugging, testing - because AI amplifies judgment; it doesn’t replace it
• You’ve fully integrated AI into how you build. Not autocomplete - agents doing real, delegated work. You can describe your workflow in detail and it’s clearly ahead of the curve
• You have proof. You can point to production software you shipped with AI leverage - solo output that used to require a team - and explain exactly how you did it
• You know where AI fails. You’ve developed the review discipline, testing habits, and skepticism to catch what agents get wrong before customers do
• Enterprise-minded: you understand that reliability, security, and data integrity are features, and you build like people’s businesses depend on your code - because they will
• High ownership and product-minded - you run toward ambiguity, make calls, and measure yourself on outcomes, not tickets

What Makes This Role Unique

• The entire company is built around this way of working - AI leverage is the engineering strategy, not a side experiment
• A lean team shipping at the impact of a much larger organization, on a real product with real enterprise customers
• You’ll help define what AI-native engineering looks like - and build a career story very few engineers can tell yet

Location & How We Work

• We’re a Boston-centered engineering culture - our home base is a top-floor office in Fort Point, and we do our best work when we can get in a room together.
• We prefer candidates local to Boston who want to be in the office a couple of days a week.
• That said, for the right person, we’re open to remote.