Senior Full Stack Engineer (m/w/d)

Start: as soon as possibleLocation: Berlin Mitte or Potsdam-BabelsbergWe 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 We combine large-scale job market data with agentic AI, turning outdated, manual workflows into intelligent, automated pipelines.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 stackBackend: Python 3.13, FastAPI (primary production API, 123+ endpoints); TypeScript 5, Hono, Bun (new backend in active development)Frontend: TypeScript, React, Next.js 16Database: 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), DockerAI / 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, structlogTooling: GitHub Actions CI/CD, UV (Python), Bun, Ruff, mypy, ESLint, pre-commit, pytest, Drizzle ORM, SQLAlchemy 2.0 (async)What you'll doArchitect and implement responsive, high-performance user interfaces with Next.js 16 and ReactDesign 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 architectureModel and optimize relational schemas in PostgreSQL 17, including pgvector embeddings for semantic searchBuild and maintain Redis-backed caching layers and async task patternsOrchestrate multi-provider LLM calls via LiteLLM, integrating OpenAI, Gemini/Vertex AI, and ClaudeInstrument LLM pipelines with Langfuse for observability, cost tracking, and quality evaluationContainerize services with Docker and deploy to AWS ECS/Fargate and GCP (Vertex AI, Document AI)Build and maintain CI/CD pipelines in GitHub Actions with 100% diff-coverage enforcementResearch, design, and implement autonomous AI agents that orchestrate tasks and workflows using LLMs and custom policiesEnsure fault tolerance, high availability, and scalability across distributed systems; identify and mitigate bottlenecksPartner with product, design, and QA to deliver end-to-end featuresConduct code reviews and champion best practicesWhat we are looking for5+ years of professional experience in full-stack developmentProficiency with Next.js, React, and TypeScript, including SSR, app router, and server componentsDeep experience building Python APIs with FastAPI (or equivalent async framework)Strong TypeScript skills, with experience in Hono, Express, or similar server frameworksStrong SQL skills and hands-on experience with PostgreSQL, including advanced features (partitioning, indexing, full-text search)Experience with vector databases or pgvector for embedding storage and semantic searchFamiliarity with Redis for caching and async coordinationSolid AWS expertise (ECS/Fargate, S3, SES, ECR, RDS); GCP exposure a plusExperience with containerization (Docker) and CI/CD pipelines (GitHub Actions)Demonstrated knowledge of distributed systems principles (consistency models, backpressure, graceful degradation)Excellent communication skills and ability to work asynchronouslyBonusPrior exposure to agentic AI frameworks or building autonomous agentsExperience with LiteLLM, Instructor, or other LLM orchestration librariesHands-on Langfuse or other LLM observability tooling (Helicone, Braintrust, etc.)Familiarity with GCP services: Vertex AI, Document AI, Cloud TranslationExperience with WorkOS or similar auth platformsBackground in observability (Prometheus, Sentry, CloudWatch)Familiarity with infrastructure-as-code (Terraform)Contributions to open-source projects or technical communitiesWho you'll work withKai (Co-Founder / Product)Fatih (Co-Founder / Revenue)Our senior engineering teamWhy join PLACEDBuild real AI systems, not just GPT wrappersApply cutting-edge machine learning and LLM techniques to real business problemsWork with founders, not layers of managementInfluence AI strategy and product direction from day oneSee your work live with real customers, fastCompetitive package (salary + VSOP)Urban Sports Club membership + other perks (help us design them!)Two offices, in Berlin Mitte and Potsdam-Babelsberg: work from either one, hybrid with at least 3 days a week on siteThe role isn't for you if...You prefer managing over buildingYou wait for detailed specsYou're not interested in understanding the customer's business logicPlaced Technologies GmbH · Schönhauser Allee 180 · 10119 BerlinFind Jobs in Germany on Arbeitnow