Remote AI Engineer (MCP) – LLM Tooling & Data Access

BairesDev

Antioquia

Remote

COP 282,912,000 - 408,651,000

Full time

3 days ago
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Benefits offered by this job

Remote work
USD or local currency compensation
Home office setup provided
Flexible hours
Paid parental leave, vacations, and H3

Job summary

BairesDev is seeking an experienced AI Engineer (MCP) to design and implement Model Context Protocol servers, enabling seamless access to external data and tools for LLMs. You will join a remote-first team delivering high-impact AI solutions for diverse clients.

The role emphasizes building robust MCP architectures, tool-calling workflows, and secure integrations using Python/TypeScript and the Anthropic SDK, with a flexible, fully remote work setup.

Qualifications

  • 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.

Responsibilities

  • Design and develop MCP servers using Python or TypeScript to expose data and capabilities.
  • Implement tool calling logic and API integrations for multi-step actions.
  • Leverage Anthropic SDK to connect LLMs with external resources.
  • Optimize the integration layer for low-latency and reliable communication.
  • Define and manage standardized schemas for tools and resources.

Skills

Python
TypeScript
Anthropic SDK
MCP servers
LLM integration
English

Tools

Anthropic SDK
APIs & Integrations
Cloud services

Job description

BairesDev is seeking an experienced AI Engineer (MCP) to design and implement Model Context Protocol servers, enabling seamless access to external data and tools for LLMs. You will join a remote-first team delivering high-impact AI solutions for diverse clients.

The role emphasizes building robust MCP architectures, tool-calling workflows, and secure integrations using Python/TypeScript and the Anthropic SDK, with a flexible, fully remote work setup.

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