Full-stack Engineer

Posted One Month Ago
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Turin, ITA
Hybrid
50K-60K Annually
Mid level
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Design, develop, and maintain full-stack applications across frontend and backend systems. Build responsive interfaces with TypeScript, React, and Vite; develop scalable Python APIs and services; manage PostgreSQL and ClickHouse data models and queries; optimize performance; test and debug code; participate in reviews; and own projects from ideation through execution.
Summary Generated by Built In

Location: Turin, Italy (hybrid)

Reporting to: CTO

Before you apply: Nebuly is where the bar is high and the vision is bold—we move fast, think deeply, and push each other to build the future of AI products. If you’re ready to give your best, we’d love to hear from you.

About Nebuly

Nebuly is a fast-growing, VC-backed startup building the platform that proves the ROI of enterprise AI.
Every enterprise function — sales, customer support, HR, finance — is deploying AI agents at scale, and budgets are following fast. But most companies can't answer a basic question: is this spend actually working?Every enterprise deploying AI agents is asking the same question: is this actually delivering value? Today, almost none of them can answer it. The signal that could answer it is right there — millions of conversations happening every day between employees, customers, and these agents — but it's unstructured, high-volume, and invisible without the right infrastructure. So the ROI question stays unanswered, not because the answer doesn't exist, but because no one can see it. Nebuly makes that signal visible. It sits on top of any enterprise AI deployment, turns those conversations into a clear answer — is this working, and where — and connects the dots back to ROI. Think of it as the accountability layer for enterprise AI: connect once, see the impact, prove the value — with no data ever leaving your environment.
Every new data category has created a new software category. CRM turned customer interactions into pipeline accountability. Product analytics turned user behavior into growth accountability. Nebuly is building that same layer for AI — turning millions of invisible conversations into a clear answer on value.
Our customers include Oura, CNH Industrial, Vodafone, and Moncler. Demand is accelerating fast, and we're building the team to match.

If you’re a skilled full stack engineer with the passion for frontend implementation, we want you.

What you’ll do

As a Full Stack Engineer, your primary focus will be designing, developing, and maintaining both front-end and back-end components, ensuring seamless integration between client-side interfaces and back-end services. You will work across the full stack, from database and API design to user-facing interfaces. Your responsibilities will include:

  • Developing robust front-end solutions using modern web technologies such as TypeScript, HTML, CSS, and popular frameworks like React and Vite.

  • Designing and building back-end services and APIs using languages such as Python, ensuring scalability, reliability, and maintainability.

  • Implementing intuitive and responsive user interfaces with a focus on delivering an optimal user experience across various devices.

  • Designing and managing data models and complex queries across relational and analytics-focused databases such as PostgreSQL and ClickHouse.

  • Optimizing performance across the stack to ensure rapid load times, efficient APIs, and responsiveness end-to-end.

  • Conduct thorough testing and debugging of both front-end and back-end code to ensure high-quality software that meets functional and design requirements.

  • Participate in code reviews, provide constructive feedback, and collaborate on technical discussions.

  • Work in plenty of autonomy and take full ownership of your work, from ideation to execution.

What we look for
  • Minimum of 3 years of professional experience full stack development

  • Professional experience in backend development, preferably using Python and FastAPI

  • Strong proficiency in TypeScript and modern frontend frameworks such as React.

  • Experience with PostgresSQL and ORMs as SQLAlchemy

  • Familiarity with RESTful APIs and integration with backend systems.

  • Familiarity with responsive design principles.

  • Understanding of cross-browser compatibility and web accessibility standards.

  • Solid problem-solving skills and attention to detail.

  • Passion for creating intuitive and visually appealing user interfaces.

What we offer

Extreme ownership. You won’t just write code—you’ll shape what gets built, why it matters, and how it gets used. Your name will be on it.

A high-growth environment. As we scale, so do the opportunities. You’ll grow with the product and the company, technically and professionally.

Competitive pay + equity. We offer a salary in the range of €50,000–72,000 gross per year, depending on the outcome of the technical interview, plus meaningful stock options in a fast-scaling company.

Skills Required

  • Minimum 3 years of professional full-stack development experience
  • Professional backend development experience, preferably with Python and FastAPI
  • Strong proficiency in TypeScript and modern frontend frameworks such as React
  • Experience with PostgreSQL and ORMs such as SQLAlchemy
  • Familiarity with RESTful APIs and backend system integration
  • Familiarity with responsive design principles
  • Understanding of cross-browser compatibility and web accessibility standards
  • Strong problem-solving skills and attention to detail
  • Passion for creating intuitive and visually appealing user interfaces
Am I A Good Fit?
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The Company
23 Employees
Year Founded: 2022

What We Do

Nebuly provides an enterprise user-analytics platform for AI agents. It analyzes conversations between employees or customers and deployed AI assistants, helping organizations understand what users ask, how agents respond, whether users achieve their goals, and where adoption, unmet needs, satisfaction, and return-on-investment signals emerge. The platform connects to existing chatbots and supports enterprise-scale, secure, on-premises, or private-cloud deployments within customer infrastructure.

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