Senior Full Stack Engineer at In the Loop AI in Washington DC

You'll own systems end to end — from architecture decision through production deployment through the bug report that comes in from a store manager at 7am. This is not a ticket queue. You'll be handed a problem and the latitude to decide how to solve it, then held to the timeline you set.

Concretely, you will:

• Build clean, concise, well-factored services from the ground up — not bolt onto legacy scaffolding
• Own and extend our integration layer: POS vendors, marketplace APIs, payment and shipping providers, and internal services
• Design and maintain browser automation that holds up against sites that change without notice, including retry logic, failure detection, and graceful degradation
• Make architecture calls (data modeling, service boundaries, queueing, caching, deployment topology) and write down the reasoning behind them
• Use AI tooling aggressively for debugging, code review, and test generation — we expect this to be a core part of how you work, not an occasional assist
• Travel to customer sites several times a year to watch the product get used, gather feedback in person, and bring fixes back the same week
• Ship on tight, self-set deadlines and communicate early when one is at risk
• What we're looking for

Required

• A portfolio of production applications you personally built and shipped — things real users depended on, not coursework or tutorials
• Strong full-stack fundamentals: a modern backend language (we use Python and JavaScript/TypeScript), a modern frontend framework, and comfortable schema design in both SQL and document stores
• Hands-on experience integrating third-party APIs, including handling auth flows, rate limits, pagination, webhooks, and undocumented behavior
• Practical experience with browser automation (Playwright, Puppeteer, Selenium, or similar) and a realistic sense of where it breaks
• Fluency with AI coding tools for debugging and review, and good judgment about where their output needs verification
• Cloud deployment experience (we run on GCP: GKE, Cloud Storage, Cloud Run) and comfort with containers and CI/CD
• Willingness to travel to customer sites, typically 1–2 days at a time

Nice to have

• Experience in retail, logistics, marketplace, or inventory software
• Computer vision or LLM application work, especially around image-based classification or pricing
• Hardware-adjacent work — smart glasses, scanners, label printers, conveyor systems
• Direct experience talking to non-technical users about software they use all day

Who this suits

Early-career engineers are strongly encouraged to apply. What we care about is demonstrated shipping ability and independent judgment — where you got them matters much less than whether you have them. If you've been building and deploying real applications for a couple of years, whether through jobs, contract work, open source, or your own products, you're the profile we want.

How we'll evaluate you
Intro call — your background, what you've shipped, what you want to own
Portfolio walkthrough — pick a project you built and take us through the architecture decisions and what you'd change
Paid take-home — a scoped, realistic integration problem, roughly one day of work
Team conversation — working session with the engineering and customer success team

** Send resume, cover letter, github link to zahra@intheloopai.com **