Senior Full Stack Engineer (m/w/d)
Start: as soon as possible
Location: Berlin Mitte or Potsdam-Babelsberg
We have two offices, one in Berlin Mitte and one in Potsdam-Babelsberg. You can work from either location.
PLACED is a Berlin-based AI startup rebuilding how Europe's 30,000+ recruitment agencies win business. We combine large-scale job market data with agentic AI, turning outdated, manual workflows into intelligent, automated pipelines. We have just closed our first institutional funding round.
We're looking for Senior Full Stack Engineers to help us take the product to the next level. You'll work on real features for real users with impact from day one.
We're seeking exceptional, A-player engineers who own the full slice: from pixel-perfect Next.js interfaces to high-performance FastAPI and Hono backends, LLM pipelines, and cloud infrastructure. You'll design data models with PostgreSQL, ship production AI features, and help drive our backend migration from Python to TypeScript.
Our tech stack
Backend: Python 3.13, FastAPI (primary production API, 123+ endpoints); TypeScript 5, Hono, Bun (new backend in active development)
Frontend: TypeScript, React, Next.js 16
Database: PostgreSQL 17 (pgvector for vector search), Redis (caching, async flags)
Infrastructure: AWS (ECS/Fargate, S3, SES, ECR, RDS), GCP (Vertex AI, Document AI, Cloud Translation), Docker
AI / LLM: OpenAI (embeddings, chat), Google Gemini / Vertex AI, Anthropic Claude, LiteLLM (multi-provider routing), Instructor (structured outputs), Langfuse (LLM observability)
Auth: WorkOS (AuthKit, JWT)
Observability: Sentry, Prometheus, Langfuse, structlog
Tooling: GitHub Actions CI/CD, UV (Python), Bun, Ruff, mypy, ESLint, pre-commit, pytest, Drizzle ORM, SQLAlchemy 2.0 (async)
What you'll do
Architect and implement responsive, high-performance user interfaces with Next.js 16 and React
Design and build secure, high-performance RESTful APIs in FastAPI (Python) and Hono (TypeScript/Bun)
Drive the active migration from our Python backend to the TypeScript/Hono architecture
Model and optimize relational schemas in PostgreSQL 17, including pgvector embeddings for semantic search
Build and maintain Redis-backed caching layers and async task…