Senior Fullstack Engineer (m/w/d)
Placed Technologies GmbH
Berlin · Onsite · Full Time
Posted
Job description
Full-time | Onsite in Berlin Mitte or Potsdam-Babelsberg We have two offices, one in Berlin Mitte and one in Potsdam-Babelsberg. You can work from either location. About PLACED PLACED is building the agentic sales OS to transform Europe's staffing industry. We help agencies place candidates radically faster and win more business. We have just closed our first institutional funding round and are growing fast with leading staffing firms in Germany. We're here to redefine how an entire industry operates. Join us now in building the next European tech champion. Your role We are seeking experienced Senior Full Stack Engineers to drive our product forward. You will own the full development lifecycle, from building responsive Next.js interfaces to architecting high-performance FastAPI and Hono backends. You will design robust PostgreSQL data models, deploy production-grade AI features, and lead our strategic 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 patterns Orchestrate multi-provider LLM calls via LiteLLM, integrating OpenAI, Gemini/Vertex AI, and Claude Instrument LLM pipelines with Langfuse for observability, cost tracking, and quality evaluation Con…