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getpress

Backend Engineer – Agentic AI

getpress

. Develop the PR platform as a full-stack engineer .

Posted 10/28/2026full-timeRemote • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack development, particularly in building AI agent systems and implementing self-learning loops. Proficient in database architecture and system design, with strong capabilities in integrating AI/ML models into production environments.

Highest-signal resume keywords
Full-Stack DevelopmentAI Agent DevelopmentDatabase ArchitectureContainer-Based ArchitectureGerman Language Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
TypeScriptPythonPostgreSQLSQLAPI DesignSchema DesignQuery OptimizationEvent-Driven ArchitectureAI/ML IntegrationBackend Development
Tools & Technologies
DockerGitGitHubFastAPISpring BootNestJSKubernetesAWSLangChainLangGraph
Industry Keywords
PR PlatformMulti-Agent OrchestrationSelf-Learning LoopsTech StackProduct Engineering

Tech Stack

Tools & technologies
AWSDockerJavaKafkaKubernetesPostgresPythonRabbitMQSpringSpring BootSpringBootSQLTypeScript

About the role

Key responsibilities & impact
  • Develop the PR platform as a full-stack engineer
  • Build an AI agent system to redefine the PR value chain
  • Develop agents to support the daily work of PR consultants
  • Implement self-learning loops and multi-agent orchestration
  • Help shape the system architecture, including workflows, data models, interfaces, compliance, and the tech stack
  • Further develop the database architecture using relational and vector databases
  • Share technical responsibility for the platform foundation with the second developer
  • Define technology standards and their use in getpress’s processes and strategy
  • Work directly with management and implement your own technical ideas

Requirements

What you’ll need
  • More than 3 years of experience in software development
  • At least 1 year of experience developing AI agents and AI components such as memory, context engineering, retrieval, and orchestration
  • Experience with frameworks such as LangChain, CrewAI, or LangGraph
  • Knowledge of TypeScript, Python, PostgreSQL, Docker, Git, LangGraph, and GitHub
  • Experience developing backend systems with frameworks such as FastAPI, Spring Boot, or NestJS
  • Experience with widely used programming languages such as Java, TypeScript, or Python
  • Experience with container-based and cloud-native architectures, particularly Docker, Kubernetes, AWS, or comparable technologies
  • Based in Germany
  • German language skills at least at B2 level; C1 is a plus
  • Proficiency in SQL, API design, schema design, and query optimization is a plus
  • Experience integrating AI/ML models into production systems, along with an understanding of model behavior, performance, and limitations, is a plus
  • Experience in product engineering and evaluating requirements from business and user perspectives is a plus
  • Experience with event-driven architecture, such as Kafka or RabbitMQ, is a plus
  • Experience with agentic development, such as Claude Code or Codex, is a plus

Benefits

Comp & perks
  • Flexible working models with a high degree of autonomy
  • Choose between our Berlin office and remote work from anywhere in Germany
  • Freedom to shape your working day within Germany
  • Support for learning German up to C1 level during your first year
  • Work directly with management
  • High autonomy and the opportunity to implement your own ideas
  • Collaborative, supportive teamwork at eye level and shared celebration of successes