About the job
TL;DR: A founding-style, full-stack engineer who ships end to end across a high-performance Go backend and a cross-platform iOS and Android app (React Native and Expo), with AI agents as your force multiplier. If mobile UI/UX is your strength, you can lean into it. We care more about how fast you can learn than about what you already know.
Company Description
Lekondo is on a mission to create a platform that serves as the ultimate home for the diverse and vibrant cultures that emerge from fashion.
We believe fashion is a universal form of identity, yet its potential as a digital community remains untapped. Our vision is to empower people to connect, express themselves, and celebrate their unique styles through an innovative and inclusive platform.
Based in New York, Lekondo strives to redefine the intersection of fashion and technology with a focus on creativity and community.
Why Now
Lekondo is backed by world-class investors. The product is live, users upload their outfits every day, and we have far more to build than people to build it. You'd join as one of our first handful of engineers, working shoulder-to-shoulder with the founder, with real ownership over what we ship and how we ship it.
This is the early, high-leverage moment: the architecture you shape and the product you build now will define what Lekondo becomes.
The Role
This is a generalist, founding-style engineering role. You'll own features end to end across the whole stack (our Go services, DynamoDB and OpenSearch data layers, async pipelines, and the React Native mobile app) and ship them fast.
We expect you to be comfortable across the stack and genuinely eager to learn the parts you're not. That said, if mobile UI/UX is your strength, you can lean into it: there's a deep well of interface and interaction work in our app, from native iOS feel to smooth animations and the details that make the product feel great to use. The bar is high: performance and polish are part of the job, not afterthoughts.
Our product is also deeply AI-powered under the hood. You don't need to be an ML specialist for this role, but you'll work alongside systems built on self-hosted LLMs and computer-vision pipelines, and curiosity about them is a plus.
What You'll Own
- End-to-end features. From data model to API to UI, you'll take features from idea to shipped across backend and mobile, and own them after they land.
- Mobile craft. A cross-platform React Native app (iOS and Android) built with Expo, where the details matter: native platform interactions, smooth performance, and an interface that feels like a place people want to spend time, not a generic app.
- Backend and data. Go services, DynamoDB and OpenSearch data modeling, caching, and the async pipelines (Lambdas and Step Functions) that keep everything fast and correct at scale.
- Performance and scale. We're at the point where the naive solution doesn't hold up. You'll care about latency, cost, and how things behave as we grow.
How We Build
We are an AI-native engineering team, and we mean it:
- We don't hand-write code. Claude Code, Codex, or whatever tools get the job done, and engineers have full autonomy over their setup.
- Humans own system design and review. Agents write the functions; you own the architecture, the full context, and the PR review. That is where the real leverage, and the hardest thinking, lives.
- Our scale demands judgment. We're past the point where the simplest one-shot solution scales. We're deeply performance-focused, and we need you to know what we're building toward so we're not refactoring around a clever-but-wrong shortcut every day.
- You learn on the job, with AI. You don't have to arrive an expert. You do have to be the kind of person who can take an ambiguous goal in a domain you've never touched, research it, talk to the codebase, prototype and ship it with AI, and then own it over the following months until you are the expert. Learning live as we deploy and optimize is the job.
If you've felt the shift in how software gets built over the last two years and you're hungry to operate at the very top of it, you'll feel at home here.
How We Work
- High trust, high ownership. We won't set your hours; you own results. That cuts both ways: nobody tracks when you log on, and you're also the one fixing your code on a Saturday when it's affecting users. The team already works like this; people diagnose an alert with Claude and ship the fix before anyone thinks to ask.
- End-user experience is our highest bar. Plenty of things are up for debate. The experience our users get is not.
- Flat, opinionated, and truth-seeking. There is no hierarchy to route ideas through: anyone can pitch anything and the team will genuinely listen. We will also push back hard to make sure it holds water, because we are truth-seeking above all else. Bring strong opinions and hold them loosely.
- Sustainable intensity. When it matters, we need you fully bought in. We also know that steering four AI agents at once gets exhausting fast and that rest is what keeps the work sharp, so we aim for a reasonable balance rather than burnout.
What Success Looks Like
In your first 90 days, you will have:
- Shipped real, user-facing features end to end across the stack
- Developed a strong mental model of our backend, our mobile app, and how they fit together
- Raised the bar on performance or product craft somewhere it mattered
- Become an effective, trusted reviewer of agent-generated code
- Found your lane, whether that leans more mobile and UX or more full-stack, while staying comfortable everywhere
Who You Are
- A systems thinker. You operate at the architecture and design level, hold the whole system in your head, treat code review as a first-class craft, and spot the solution that won't scale before it ships.
- Comfortable across the stack, and eager to learn the rest. You're not boxed into one layer, and you get genuinely excited about picking up whatever the problem needs.
- Ambitious and fast-learning. We care far more about raw ability and drive than about pedigree. You're comfortable (or quick to get comfortable) steering AI tooling, and energized by it rather than threatened.
- Bonus: great taste and design sense. Not required, but a real plus; we sweat the details, especially in the app.
- Bonus: you love fashion. Also not required, but if Lekondo is a product you'd actually use, even better.
Ideal Background
We're genuinely flexible here. These are signals, not hard requirements:
- Strong full-stack engineering: a typed backend (APIs, databases, caching) plus a modern frontend (we're in Go, on DynamoDB and OpenSearch)
- Experience with React Native or TypeScript and a real eye for mobile UX is a strong plus
- Comfort with cloud infrastructure (we run on AWS and GCP)
- Comfort in a fast-moving, ambiguous, early-stage environment
Location
For US candidates, this is an in-person role in New York City, five days a week. For non-US, remote.
Compensation
Competitive cash and meaningful early-stage equity. This is a founding-level role, so you'll own a real piece of what we're building, calibrated to experience.
How to Apply
Submit your resume along with your LinkedIn, GitHub, or portfolio, and a couple of sentences on why Lekondo. No cover letter required, and no application cap. We read every submission and will get back to you.