Remote AI Engineer (MCP) & LLM Tooling Specialist

BairesDev; Bogotá ciudad; Teletrabalho; COP 291 290 000 - 420 753 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% remote work

Competitive USD compensation

Home office setup provided

Flexible hours

Paid parental leave

Resumo da oferta

BairesDev is seeking an AI Engineer (MCP) to design and implement MCP servers that give LLMs reliable access to external data and tools. You will bridge advanced AI models with the broader technical ecosystem, enabling secure, scalable interactions across diverse systems.

Responsibilities include building production-grade MCP servers, implementing tool calling, and integrating with external resources using the Anthropic SDK.

Qualificações

• 4+ years of experience in Software Engineering, AI Engineering, or a related role.
• Proven expertise in designing and implementing Model Context Protocol (MCP) servers.
• Extensive experience with tool calling design and connecting LLMs to external systems.
• Proficiency in Python or TypeScript and fluency with the Anthropic SDK.
• Advanced proficiency in English.

Responsabilidades

• Design and develop production-grade MCP servers using Python or TypeScript to expose specific data and capabilities.
• Implement sophisticated tool calling logic and API integrations to enable AI agents to perform complex, multi-step actions.
• Leverage the Anthropic SDK to build robust connections between Large Language Models and external resources.
• Optimize the integration layer to ensure low-latency, accurate communication between MCP hosts and remote or local servers.
• Define and manage standardized schemas for tools and resources to maintain consistency across various AI applications.

Conhecimentos

MCP servers design

Tool calling design

Python

TypeScript

Anthropic SDK

English

Descrição da oferta de emprego

BairesDev is seeking an AI Engineer (MCP) to design and implement MCP servers that give LLMs reliable access to external data and tools. You will bridge advanced AI models with the broader technical ecosystem, enabling secure, scalable interactions across diverse systems.

Responsibilities include building production-grade MCP servers, implementing tool calling, and integrating with external resources using the Anthropic SDK.