AI Product Engineer

getpress

. Full-stack development of the PR platform as the operating system for the PR agency .

Posted 9/30/2026full-timeRemote • GermanyMid-LevelSenior💰 €60,000 - €80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack development, particularly in building AI agent systems and integrating AI into business processes. Proficient in database architecture, API design, and cloud-native technologies, with a strong focus on technical standards and system architecture.

Highest-signal resume keywords

Full-Stack DevelopmentAI Agent DevelopmentTypeScriptPostgreSQLDocker

ATS Keywords

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Hard Skills

Software DevelopmentAI Components DevelopmentSQLAPI DesignSchema DesignQuery OptimizationEvent-Driven ArchitectureAgentic DevelopmentBackend DevelopmentCloud-Native Architecture

Tools & Technologies

LangChainCrewAILangGraphFastAPISpring BootNestJSKubernetesAWSGitGitHub

Industry Keywords

PR PlatformSystem ArchitectureData ModelsComplianceMulti-Agent OrchestrationSelf-Learning LoopsProduct EngineeringModel BehaviorPerformanceLimitations

Tech Stack

Tools & technologies

AWSDockerKafkaKubernetesPostgresPythonRabbitMQSpringSpring BootSpringBootSQLTypeScript

About the role

Key responsibilities & impact

Full-stack development of the PR platform as the operating system for the PR agency
Build an AI agent system to redefine the PR value chain
Develop agents for the day-to-day work of PR consultants, including self-learning loops and multi-agent orchestration
Help shape the system architecture, including workflows, data models, interfaces, compliance, and tech stack
Further develop the database architecture using relational and vector databases
Take joint responsibility for the technical foundation together with the second developer
Integrate AI into getpress’s processes and strategy
Work directly with management, implement your own ideas, and define technical standards

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 container-based and cloud-native architectures, including Docker, Kubernetes, and AWS or comparable technologies
Based in Germany
C1-level German is an advantage; B2 level is sufficient, with a willingness to complete a C1 course during the first year of employment
Strong SQL, API design, schema design, and query optimization skills are an advantage
Experience integrating AI/ML models into production systems, along with an understanding of model behavior, performance, and limitations, is an advantage
Experience in product engineering and evaluating requirements from a business and user perspective is an advantage
Experience with event-driven architecture, such as Kafka or RabbitMQ, is an advantage
Experience with agentic development, such as Claude Code or Codex, is an advantage

Benefits

Comp & perks

Flexible working arrangements with a high degree of autonomy
Work from the Berlin office or remotely within Germany
Direct collaboration with management
Implement your own ideas and define technical standards
Collaborative, open working culture
Equal opportunities and an inclusive work environment