Software Engineer, AI Integrations

Jobgether; Germany; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Fully remote

Flexible working

35 days holidays

International team

Open-source exposure

Job summary

Jobgether is seeking a Software Engineer, AI Integrations based in Germany to build developer-focused integrations that connect web data services with AI coding agents, frameworks, cloud platforms, and automation ecosystems. You will work autonomously in a remote-first, international environment and contribute to open-source tooling.

Responsibilities include publishing CLI packages via PyPI and npm, maintaining SDKs and connectors (LangChain, LlamaIndex), evaluating platforms, and delivering

Qualifications

• Strong software engineering with developer-tools experience.

Responsibilities

• Develop and publish integrations connecting web data services with AI coding agents and frameworks.

Skills

Python

TypeScript

Node.js

SDKs

CLI

REST APIs

CI/CD

English

Tools

PyPI

npm

Docker

LangChain

LlamaIndex

Playwright

Selenium

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer, AI Integrations based in Germany.

Accountabilities

In this role, you will build and maintain developer-focused integrations that make web data services accessible through AI coding agents, frameworks, cloud platforms, and automation ecosystems. Your main responsibilities will include:

• Develop and publish integrations that connect web data services with coding-agent environments such as Claude Code, Codex, Cursor, and Docker, building on existing MCP infrastructure.

• Design, develop, and release a shared command-line interface (CLI), publishing packages through PyPI and npm.

• Build and maintain packages, tools, and connectors for developer frameworks and agent SDKs, including LangChain and LlamaIndex, as well as browser automation tools.

• Implement recurring data delivery solutions for customer cloud and data platforms, including AWS, Google Cloud Storage, BigQuery, and Snowflake, leveraging existing export capabilities where possible.

• Evaluate application-building and automation platforms such as Dify, Flowise, Make, Zapier, Lovable, and Replit, developing prototypes and templates where they can generate sustained product adoption.

• Assess potential integrations by estimating technical feasibility, development effort, dependencies, and long-term maintenance requirements.

• Implement tracking mechanisms to measure signups and usage attributable to individual integrations, identifying any gaps in attribution.

• Create clear setup guides, technical documentation, and practical examples for developers and AI coding agents across public repositories and documentation platforms.

• Manage submissions to partner directories, registries, and marketplaces, including addressing technical feedback and review requirements.

• Maintain and improve existing integrations by monitoring partner tool updates, resolving issues, and managing releases and versioning.

• Collaborate with Product, Product Marketing, and Developer Relations teams on product launches, positioning, and developer community engagement.

• Work with SaaS and Platform engineering teams to ensure the stability and reliability of the underlying API and cloud infrastructure.

• Participate in code reviews, technical planning, and regular team activities within an agile, cross-functional environment.

Requirements

The ideal candidate combines strong software engineering expertise with practical experience building developer tools, integrations, and AI-powered workflows. You should be comfortable working independently, navigating evolving technical requirements, and delivering solutions that drive measurable developer adoption. The following qualifications and skills are expected:

• Strong programming skills in Python, with solid experience in TypeScript and Node.js.

• Proven experience developing SDKs, client libraries, command-line interfaces, plugins, or third-party integrations used by external developers.

• Hands on experience with AI coding agents and development tools such as Claude Code, Cursor, or Codex.

• Familiarity with the Model Context Protocol (MCP) or similar tool calling interfaces.

• Experience publishing and maintaining software packages through PyPI and npm, including version management, CI/CD pipelines, testing, and release processes.

• Good understanding of REST APIs, authentication mechanisms, and secure credential management across client side and server side environments.

• Strong outcome oriented mindset, with a focus on developer adoption, product usage, and continuous improvement through data driven decisions.

• Excellent written English skills, particularly for producing technical documentation, setup instructions, and practical code examples.

• Ability to work effectively with ambiguity, independently assess technical challenges, and scope projects in an evolving team environment.

Additional Qualifications (Preferred)

• Experience working in a distributed, remote first international team.

• Familiarity with LangChain, LlamaIndex, or other AI agent development frameworks and SDKs.

• Experience with AWS or Google Cloud data services, including S3, Cloud Storage, and BigQuery, or with Snowflake.

• Knowledge of web scraping technologies, Scrapy, or browser automation tools such as Playwright and Selenium.

• Previous experience maintaining open source projects or working in Developer Relations.

Benefits

• Fully remote working arrangement, with the freedom to work from the location where you are most productive.

• Flexible working environment that supports autonomy and work life balance.

• 35 days of paid holidays.

• Opportunity to join a self motivated, progressive, and multicultural international team.

• Exposure to cutting edge open source technologies, AI tools, and modern software development practices.

• Opportunity to contribute to innovative developer tools and integrations at the intersection of AI and data technology.