Remote AI Engineer (MCP): LLM Tooling & Data

BairesDev

Antioquia

Remote

COP 388,387,000 - 582,581,000

Full time

33 hours ago
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Benefits offered by this job

Remote work (global)
USD or local currency compensation
Hardware provided
Flexible hours
Paid parental leave

Job summary

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

You'll work on tool calling design, integration with external systems, and latency-optimized communication. Strong English skills and 4+ years in AI/Software engineering are required; this is a 100% remote, globally distributed role.

Qualifications

  • 4+ years of experience in Software Engineering, AI Engineering, or related role.
  • Proven expertise in designing and implementing MCP servers.
  • Extensive experience with tool calling design and connecting LLMs to external systems.

Responsibilities

  • Design and develop production-grade MCP servers using Python or TypeScript to expose data and capabilities.
  • Implement sophisticated tool calling logic and API integrations for AI agents.
  • Leverage the Anthropic SDK to connect LLMs with external resources.
  • Optimize the integration layer for low-latency communication between MCP hosts and remote/local servers.
  • Define and manage standardized schemas for tools and resources.

Skills

MCP server design
Tool calling design
Python or TypeScript
Anthropic SDK
English proficiency
Software engineering

Tools

Anthropic SDK

Job description

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

You'll work on tool calling design, integration with external systems, and latency-optimized communication. Strong English skills and 4+ years in AI/Software engineering are required; this is a 100% remote, globally distributed role.

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