Internship Shopify Software Engineer Jobs in Raleigh, NC

Full Stack Engineer

Raleigh, NC | In-office | Full-time

Hey — Scot here, CEO and co-founder of ReFiBuy. If you're the kind of engineer who reads release notes for fun, ships on day one, has been quietly building agents on the side, and gets a little restless on teams that talk more than they build — keep reading. Let's dig in.

A few quick notes up front:

• No recruiters, please.

• Applicants must have permanent work authorization in the US. We're not sponsoring visas for this role.

• This is an in-office role. We're default in-office in Raleigh, NC. If you're not in the Triangle, you'd need to relocate at your own expense — we don't have a relocation budget for this seat.

• You'll work daily with our Dublin engineering team across the Atlantic. Comfort with async + a couple of early/late calls a week is part of the job.

About the Role
You'll help us build an AI-native, agentic ecommerce platform end-to-end — shipping features across a Next.js + TypeScript front end and a C# .NET 9 back end on .NET Aspire that powers an event-driven, multi-tenant SaaS platform. You'll spend as much time wiring up production agent workflows (enrichment, scoring, multi-engine monitoring) as you do building UI. We don't have room for people who want to specialize in one corner — we want builders who own the whole feature: schema to UI to telemetry to rollout.

To be concrete about scale: today we're running tens of thousands of SKUs through agentic enrichment, distributing optimized catalogs to engines like ChatGPT, Perplexity, Gemini, and Copilot, and tracking visibility back from each one daily. The work is real, the customers are real, and the agents are in production.

Our stack

• Frontend: Next.js, React, TypeScript, Tailwind + shadcn, SSR/ISR, server components, plus a Chrome extension surface for sales/SE workflows.

• Backend: C# .NET 9 on .NET Aspire, microservices, minimal APIs, DI, background workers, feature-flagged rollouts.

• Data : PostgreSQL, Redis, Neo4j, vector stores.

• Eventing : Event-driven Dapr architecture with pub/sub.

• AI-native: AutoGen, Semantic Kernel, frontier LLMs (OpenAI / Anthropic / Google), retrieval, function/tool calling, prompt + response evals, agent orchestration in production.

• Integrations: Shopify, Bloomreach, PowerReviews, Google UCP, OpenAI Catalog Feed, marketplace + retailer feeds (and many more in flight).

• Cloud + Platform: Azure, AWS, Supabase, Fly.io, Docker.

• DevEx: GitHub monorepo, GitHub Actions, trunk-based dev with feature flags, Linear for cycles + tickets.

• Observability: OpenTelemetry tracing/metrics/logs, dashboards, and a growing fleet of internal Claude-powered ops agents.

What You'll Do:

• Build product experiences in Next.js + TypeScript with polished UX — the kind that makes customers screenshot it and send it to other vendors and say "Why can't your UX be this clean?!".
• Design resilient .NET Aspire services and event-driven workflows — idempotency, retries, DLQs, the unglamorous stuff that keeps agents and feeds honest at 100k+ SKU scale.
• Ship and own production LLM agent processes: catalog enrichment, attribute generation, QA automation, and the Visibility + Quality Digital Shelf scoring loop. Get customers past the "it works on 25 products" phase to running cleanly across tens of thousands.
• Build the multi-engine monitoring layer — how we measure presence and quality across ChatGPT, Perplexity, Claude, META, Gemini, and Copilot.
• Wire up agentic ops: extend the agents that run feed health, PR reviews, backlog audits, and prod monitoring — and add new ones as the team grows.
• Work on Reinforcement Learning with AI Feedback Loops. Do you stop everything and watch or listen when a new Andrej Karpathy pod drops? Come join us on the bleeding edge. Implement this as your main gig and not a fun hobby.
• Own features end-to-end: schema/design, API contracts, evals + tests, telemetry, feature-flag rollout, learnings.
• Contribute to platform and devex: CI/CD, preview envs, AI coding tools, internal libraries.

Minimum Qualifications

• 3+ years shipping production apps with modern TypeScript/React or C#/.NET.
• Solid grasp of SSR, state management, API design, and relational data modeling.
• Hands-on experience with at least one LLM API and an agent or RAG pattern — even side projects count, but you've actually wired up tool calling and seen what breaks.
• Comfort with containers, cloud deploys, Git, code review hygiene, and automated testing fundamentals.

Nice to Have

• Next.js App Router, React Server Components, Tailwind + shadcn.
• .NET 9 + .NET Aspire, minimal APIs, background jobs, Clean Architecture, CQRS.
• Event-driven messaging with Dapr or Kafka / NATS / SNS+SQS — the patterns transfer.
• Production agent work: AutoGen, Semantic Kernel, LangChain, or your own framework. Bonus for evals, guardrails, and cost/latency tuning.
• Vector DBs, RAG, hybrid retrieval, response evaluation.
• Ecommerce catalogs, marketplaces (Amazon / Walmart / eBay), feeds, attribute taxonomy, retailer integrations.
• Linear cycle-based planning, feature-flag-driven release engineering, on-call comfort.

How We Work

Builder culture: fast iterations, small PRs, daily deploys, trunk-based development, feature flags as the default rollout mechanism. We run on Linear cycles and we keep the PR review queue tight — a Claude bot will nudge you at 24 hours — don't take it personally. We're in the office because we believe the best work happens at a whiteboard with the team you're shipping with. Fewer meetings, more co-creation.

What You'll Learn

• Agentic patterns in production — tool orchestration, planning, safety guardrails, evals, cost control.
• Multi-engine optimization — reasoning about how ChatGPT, Perplexity, Gemini, and Copilot each interpret a catalog, and what to do about it.
• Multi-tenant SaaS at SKU scale: isolation, quotas, metering, connection management, perf tuning.
• Real-time features with WebSockets / streams and backpressure.
• Ecommerce + AI: surfacing insights and actions that actually move revenue.

Benefits

We're a seed-stage startup, and we've put real benefits in place — here's the deal:

• Healthcare — Three BCBS plans to choose from. ReFiBuy covers 80% of the base plan; you cover 20%.
• Dental, Vision, and Life Insurance — available alongside the medical plans.
• 401k through Human Interest, with a company match: 100% of contributions up to 1% of salary plus 50% up to 5%. No vesting — it's yours from day one.
• Incentive Stock Options (ISOs) — you're getting in on the ground floor. 4-year vesting, quarterly.
• PTO — 15 days (120 hours) per year, accruing each pay period. PTO can be used as it accrues, carries over year-to-year up to a 120-hour cap, and unused PTO is paid out at the end of your service.
• Parking — covered by ReFiBuy.
• Office — Raleigh. Founded at 509 W. North St, Raleigh, NC 27603. Glenwood South location, walking distance to restaurants and amenities, with a spacious breakroom, hangout areas, a wellness room, and more.

Note: Benefits are eligible 30 days after start.

About ReFiBuy

ReFiBuy is the Agentic Commerce Optimization (ACO) platform for brands, retailers, and agencies. We exist to help commerce teams compete and win in a world where AI shopping agents — ChatGPT, Perplexity, Gemini, Copilot, Claude, and whatever ships next month — increasingly decide what gets discovered, recommended, and purchased.

The tools that power ecommerce today were never designed for agents. Product visibility used to depend on people typing keywords; now it depends on whether your product data is complete, structured, and intelligible to machines. We built ReFiBuy from the ground up as an AI-native, closed-loop platform — our Commerce Intelligence Engine ingests catalogs at the SKU level, evaluates how agentic engines interpret each product, enriches the gaps, distributes optimized data back to the engines, and monitors performance over time.

We were founded by four ecommerce operators with serious mileage — ChannelAdvisor, Rithum, MikMak, and Walmart — which makes us one of the most experienced AI startups in the Triangle. We're working with real brands and retailers today, on real catalogs, in production.

Speed-wise: compared to a traditional company you'll feel like you're going 100x faster. Compared to a typical startup, 10–20x. If you like to build great and fast, be innovative, go home exhausted from learning so much, and ship work where the impact is immediate — you're going to love it here.

If this sounds like your kind of room, send us your resume and a few links to things you've shipped — bonus points for an agent or LLM project, even a weekend one. We read everything. That's it for now — looking forward to meeting you.

— Scot Wingo, CEO