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.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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