Deeploy
AI
FullStackEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Full Stack Engineer at Deeploy. Skills: TypeScript, frontend, backend, server-side framework, modern frontend framework, web fundamentals, SQL. Shipped your first meaningful contribution. Fixed real bugs that had been sitting on the backlog”
What You'll Achieve.
shipped your first meaningful contribution; Fixed real bugs; Taken ownership of a small but impactful feature; Be working confidently across the full stack; Be contributing to features end-to-end; shipped features that genuinely move the needle for customers; Be someone the team relies on; Look back at what you built and be proud of it; be the go-to technical foundation for governing AI
Industry & Context.
detect, understand, and prevent the harms caused by misaligned models
What They're Looking For.
Must Have
TypeScript skills, with experience on both frontend and backend, Familiarity with a server-side framework (Node. js, Python, or similar), Experience with a modern frontend framework (preferably Angular), Solid grasp of web fundamentals: HTTP, REST APIs, JSON, Working knowledge of SQL
Nice to Have
Have built something AI-powered: a model wrapper, an agent, an LLM-powered feature, Have shipped under pressure: hackathons, 48-hour sprints, solo launches, Have worked with microservices, Docker, or Kubernetes, Have touched a cloud platform, Have a GitHub, portfolio, or demo you're proud to show
What You'll Do.
Shipped your first meaningful contribution
Fixed real bugs that had been sitting on the backlog
Taken ownership of a small but impactful feature
Working confidently across the full stack: from database queries to frontend components
Contributing to features end-to-end
Shipped features that genuinely move the needle for customers
How You'll Work.
Team & Collaboration
positive feedback from teammates on your code; Be someone the team relies on
Communication Scope
love a good conversation
Process & Methodology
Taken ownership of a small but impactful feature
Full Job Description
Hey there! 👋 Thanks for checking us out. We hope this gives you a real feel for who we are, what we're building, and whether Deeploy is the kind of place where you'll do some of your best work. If anything here resonates, reach out, we love a good conversation. Why Deeploy? 🤔 AI is being deployed everywhere, but most of it is a black box. Deeploy exists to change that. We build the technical foundation that makes AI truly responsible: helping companies detect, understand, and prevent the harms caused by misaligned models before they impact the real world. We're an AI-native team. That means we don't just build for AI, we aim to be a frontrunner in our own engineering. We're constantly rethinking how we write, review, and ship code, and we expect everyone on the team to be part of that evolution. What you'll be doing 👀 There's real room here for your ideas and judgment. We're growing fast, and we'll invest in your growth just as much as you invest in ours. We're flexible and autonomous, if you're proactive and own your work, we'll be a great fit. Within 1 month, you'll: - Have your footing in the codebase and shipped your first meaningful contribution - Fixed real bugs that had been sitting on the backlog - Taken ownership of a small but impactful feature Within 3 months, you'll: - Be working confidently across the full stack: from database queries to frontend components - Be contributing to features end-to-end with positive feedback from teammates on your code Within 6 months, you'll: - Have shipped features that genuinely move the needle for customers - Be someone the team relies on and you'll feel it - Look back at what you built and be proud of it Who we're looking for We care far more about how you think and build than the context in which you built it. Whether your experience comes from production systems, a weekend hackathon, an open-source side project, or a university lab, if you've shipped real things and care about craft, we want to hear from you. You'l
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