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# (Senior) Backend Engineer

- **Company:** Getspecialfasteners
- **Location:** Bielefeld, Germany
- **Experience:** Expert
- **Salary:** €60,000.0 - €85,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, BigQuery, Code Review, Continuous Integration, Data Mining, Relational Databases, Cursor (Graphical User Interface Elements), Github, Python (Programming Language), PostgreSQL, Routing, NoSQL, Queueing Systems, SQL Databases, Data Logging, Data Processing, Large Language Models, Prompt Engineering, Zapier, AWS Lambda, Build Server, Backend, Git, Event Driven Architecture, Google Cloud Functions, Nintex, Graphql, Restful APIs, Terraform
- **Published:** July 19, 2026
- **Apply:** https://www.careerjet.de/jobad/de2ed45622c2b4fe25b854e71e30f85aa3

## About the Role

Muss

 * 5+ Jahre Backend-Entwicklung
 * Sehr gute Kenntnisse in Python
 * Erfahrung mit Serverless-Architekturen (Cloud Functions, AWS Lambda o. Ä.)
 * Solides Verständnis von Event-driven Architecture (Pub/Sub, Message Queues, Events)
 * Erfahrung mit SQL und relationalen Datenbanken (PostgreSQL o. Ä.)
 * Sicher im Umgang mit REST-APIs, Git und CI/CD-Pipelines
 * KI/ML als Werkzeug, nicht als Buzzword: du nutzt LLMs, um Workflows intelligenter zu machen, nicht komplizierter
 * Pragmatismus: MVP vor Perfektion, Geschwindigkeit vor Over-Engineering

## Description

Backend & APIs

 * REST/GraphQL-APIs entwickeln (Python)
 * Cloud Functions auf GCP bauen
 * ERP-, CRM- und Lieferanten-APIs integrieren
 * PostgreSQL / Firestore / BigQuery - Datenmodellierung und Performance-Optimierung

Event-driven Architecture & Automation

 * Event-driven Systeme mit GCP Pub/Sub aufbauen
 * Workflow-Orchestrierung mit n8n oder Airflow
 * Robustes Error Handling, Retry-Logik und Monitoring

AI & LLM Integration

 * LLMs (OpenAI, Anthropic, …) für Datenextraktion, Routing und Klassifizierung integrieren
 * AI-Agenten für autonome Workflows bauen
 * RAG-Workflows, Vector DBs, Prompt Engineering
 * Guardrails und Fehlerbehandlung für Non-Determinismus

AI-assisted Development

 * AI-Tools (Cursor, Claude Code) effektiv nutzen
 * Best Practices für AI-assisted Development im Team etablieren
 * Code-Reviews, Testing, CI/CD-Pipelines

Infrastructure

 * CI/CD mit GitHub Actions / Cloud Build
 * Infrastructure as Code mit Terraform
 * Monitoring, Logging, Alerting, * LLM-Integration für Datenextraktion aus E-Mails, PDFs, Anfrage-Dokumenten
 * Intelligentes Routing & Decision Making mit ML-Modellen
 * Predictive Pricing, Forecasting oder Anomaly Detection in Prozessen
 * Prompt Engineering & Optimierung von LLM-Outputs
 * AI-Agenten für autonome Workflows
 * Umgang mit Non-Determinismus: Error Handling, Guardrails, Feedback-Loops
 * Saubere Datenaufbereitung für ML-Modelle und RAG-Workflows
 * GCP-Erfahrung (Cloud Functions, Pub/Sub, BigQuery)
 * Workflow-/Orchestration-Tools wie n8n, Airflow, Zapier oder make
 * Terraform oder andere IaC-Tools
 * Firestore / NoSQL
 * Vector DBs, RAG, Fine-Tuning, CV APIs
 * Branchenwissen: Verbindungselemente, B2B-Commerce


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