On-Site AI Product Engineer — Full-Stack, End-to-End (Chiasso)

Anthropos; Lombardia; On-site; EUR 49,000 - 76,000; Full time

Benefits offered by this job

Real ownership from day one

Access to Claude Code and AI tooling

Generous stock option package

Relocation support

Job summary

Anthropos SAGL in Chiasso, Switzerland, seeks a Product Engineer to build and ship features end-to-end for the Anthropos platform. You will own UI, APIs, data models, and AI-driven workflows in an on-site Swiss office, collaborating with the founding team.

You are a generalist with strong AI tooling skills, comfortable across the stack, and capable of delivering enterprise-grade products with fast iteration and direct customer interaction.

Qualifications

• 2+ years of experience shipping production software.
• Generalist profile capable of handling frontend, backend, and infrastructure.
• Willingness to work on-site in Chiasso, Switzerland; EU citizenship or Swiss work rights required.

Responsibilities

• Ship product features end-to-end: UI, API, data model, release to production.
• Work across the full stack: Go backend, REST/GraphQL APIs, frontend with TS/React/Next.js, Docker in production.
• Design AI-powered features, prompts, evaluations, and workflows for enterprise customers.
• Work with Claude Code and related AI tools as the primary development approach.
• Ensure quality: review AI-generated code, test features, and ensure reliability for enterprises.
• Interact with customers, gather feedback, and support sales with demos and projects.

Skills

Full-stack engineering

Go

REST & GraphQL

TypeScript

React

Next.js

Docker

AI coding tools

AI-driven product development

API design

Tools

Claude Code

Cursor

Codex

Job description

Anthropos SAGL in Chiasso, Switzerland, seeks a Product Engineer to build and ship features end-to-end for the Anthropos platform. You will own UI, APIs, data models, and AI-driven workflows in an on-site Swiss office, collaborating with the founding team.

You are a generalist with strong AI tooling skills, comfortable across the stack, and capable of delivering enterprise-grade products with fast iteration and direct customer interaction.