AI Tooling Engineer: MCP Servers, LLMs & Dev Tools

Confidential; New York (NY); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Open-source projects

MCP server projects

Hackathon/portfolio work

Job summary

Confidential in New York, NY seeks a hands-on builder who has shipped MCP servers and connected AI models to real-world tools, APIs, and services. You’ll turn ideas into practical tooling and backend integrations.

You should be comfortable with TypeScript/Node.js or Python, and experienced in building CLIs, SDKs, and API integrations. LLM APIs, tool calling, function calling, and agent workflows will be part of daily work.

Qualifications

• Built an MCP server and demonstrated it with a repo or demo.
• Strong backend skills in TypeScript/Node.js or Python.
• Hands-on experience building CLIs, SDKs, or API integrations.
• Practical experience with LLM APIs, tool calling, or agent workflows.
• Builder mindset with initiative and ability to ship without constant direction.

Responsibilities

• Build and maintain MCP servers connecting AI applications with external tools, APIs, and services.
• Develop backend solutions using TypeScript/Node.js or Python.
• Build and integrate CLIs, SDKs, and APIs to make tools accessible and easier to use.
• Work with LLM APIs, tool calling, function calling, and agent workflows.
• Prototype, test, and ship practical AI-powered tools and integrations.
• Identify technical problems, develop solutions, and take projects from idea to implementation.
• Improve reliability, usability, and performance of developer tooling.
• Work independently, move quickly, and take ownership of outcomes.

Skills

MCP server development

TypeScript/Node.js

Python

CLI/SDK/API development

LLM tool integration

Open-source experience

Tools

GitHub

Node.js

Python

Job description

Confidential in New York, NY seeks a hands-on builder who has shipped MCP servers and connected AI models to real-world tools, APIs, and services. You’ll turn ideas into practical tooling and backend integrations.

You should be comfortable with TypeScript/Node.js or Python, and experienced in building CLIs, SDKs, and API integrations. LLM APIs, tool calling, function calling, and agent workflows will be part of daily work.