Software Engineer, AI Integrations

New

JobgetherDeveloper tools

Based in IndiaFull-Time

Salary not disclosed

Apply NowOpens the employer's application page

Job Details

Strong programming skills in Python.
Solid experience with TypeScript and Node.js.
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.
Excellent written English skills, particularly for technical documentation, setup instructions, and practical code examples.
Ability to work independently, assess technical challenges, and scope projects amid ambiguity and evolving requirements.
Preferred: experience with LangChain, LlamaIndex, or other AI agent development frameworks and SDKs.
Preferred: experience with AWS or Google Cloud data services, including S3, Cloud Storage, and BigQuery, or with Snowflake.
Preferred: knowledge of web scraping technologies, Scrapy, or browser automation tools such as Playwright and Selenium.
Preferred: experience in a distributed, remote-first international team, maintaining open-source projects, or working in Developer Relations.

Develop integrations connecting web data services with coding-agent environments such as Claude Code, Codex, Cursor, and Docker, building on MCP infrastructure.
Design and release a shared command-line interface, publishing packages through PyPI and npm.
Build and maintain packages, tools, and connectors for developer frameworks, agent SDKs, and browser automation tools.
Implement recurring data delivery solutions for customer cloud and data platforms, including AWS, Google Cloud Storage, BigQuery, and Snowflake.
Evaluate application-building and automation platforms, and develop prototypes and templates where they can support sustained product adoption.
Assess integration feasibility, development effort, dependencies, and long-term maintenance requirements.
Track signups and usage attributable to integrations and identify attribution gaps.
Create setup guides, technical documentation, and practical examples for developers and AI coding agents.
Maintain existing integrations by monitoring partner tool updates, resolving issues, and managing releases and versioning.
Collaborate with Product, Product Marketing, Developer Relations, and SaaS and Platform engineering teams on launches, community engagement, and infrastructure reliability.

View Full Description & ApplyYou'll be redirected to the employer's site