Backend Engineer - Agentic AI (m/w/d)

getpress-gmbh; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

getpress-gmbh is seeking a backend engineer to build services and data foundations for AI agents and multi-agent workflows in a remote role aligned with Berlin time zones.

You will contribute with Python and/or TypeScript, work with retrieval-augmented generation, vector databases, PostgreSQL, and connect components for production-grade systems deployed in Docker/Kubernetes.

This role emphasizes reliability, scalability, and clean interfaces for agent interactions.

Qualifications

• Backend engineering experience with Python and/or TypeScript.
• Experience with AI agents and LangChain/LangGraph frameworks.
• Experience with PostgreSQL and vector databases.
• Knowledge of Docker and Kubernetes.
• Experience building production-grade software.

Responsibilities

• Develop and maintain backend services for AI agent workflows.
• Build and connect components for multi-agent systems.
• Work with retrieval-augmented generation and vector databases.
• Support deployment and operation in containerized or orchestrated environments.

Skills

Python

TypeScript

AI agents

LangGraph

LangChain

PostgreSQL

Vector databases

Docker

Kubernetes

Production-grade software

Job description

Role overview

Build backend systems for AI agents and multi-agent applications. The role focuses on developing the services and data foundations that support agent workflows, including retrieval-augmented generation, in a remote position based in Berlin.

Responsibilities

• Develop and maintain backend services for AI agent workflows.
• Build and connect components for multi-agent systems.
• Work with retrieval-augmented generation and vector databases.
• Support reliable deployment and operation of services in containerized or orchestrated environments.

Requirements

• Backend engineering experience, with Python and/or TypeScript.
• Familiarity with AI agents and frameworks such as LangGraph or LangChain.
• Experience with PostgreSQL and vector databases.
• Knowledge of Docker and Kubernetes.
• Experience building software for production use.