AI Product Engineer — Build AI-Driven Legal Tech Platform

Hub

København

Híbrido

DKK 900.000 - 1.200.000

Jornada completa

Hace 2 días
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Descripción de la vacante

SmallClaims is growing its engineering team in Copenhagen, building AI-driven legal tech. You will own areas of our AI service and back-office platform, shaping, building, shipping end-to-end across the stack with a product-focused mindset.

You will collaborate with the CTO, product specialists, and lawyers to deliver production-grade features, while improving evals and observability and shipping to production on AWS.

Formación

  • Strong backend development, incl. background jobs, auth models and API design.
  • Relational database experience (Postgres/SQL), schema design, migrations, performance.
  • Hands-on LLM building in production, orchestration, structured outputs, tool calling, evals, tracing.
  • Works daily with AI coding agents (Claude Code, Codex, opencode or similar).
  • Testing as a habit: feature and end-to-end tests, CI, staging to production.
  • Cloud and deployment literacy (AWS or similar, Docker, CI/CD).

Responsabilidades

  • Own parts of and build features in our AI service: LLM orchestration with structured outputs.
  • Build the back-office platform our case managers and lawyers use daily.
  • Set up and improve evals and observability for scalable AI agents.
  • Ship and run what you build, from staging to production on AWS, with tests.

Conocimientos

Backend development
PostgreSQL
LLM building
Orchestration
Testing & CI
AWS & Docker
Product ownership mindset

Herramientas

Laravel/PHP
Next.js
Python/FastAPI
PostgreSQL
AWS
Docker
CI/CD

Descripción del empleo

SmallClaims is growing its engineering team in Copenhagen, building AI-driven legal tech. You will own areas of our AI service and back-office platform, shaping, building, shipping end-to-end across the stack with a product-focused mindset.

You will collaborate with the CTO, product specialists, and lawyers to deliver production-grade features, while improving evals and observability and shipping to production on AWS.

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