AI Engineer (MCP) - Remote Work

BairesDev

United States

Remote

MXN 2,251,000 - 3,376,000

Full time

9 hours ago
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Benefits offered by this job

100% remote work (from anywhere)
Competitive compensation in USD or USD
Home office setup provided
Flexible hours
Paid parental leaves and holidays

Job summary

BairesDev, a leading global tech company, is seeking an AI Engineer (MCP) to design and implement MCP servers, enabling LLMs to access external data and tools securely and reliably.

You will work remotely with a world‑class team, shaping scalable AI infrastructure, using Python or TypeScript, Anthropic SDK, and API integrations, while enjoying flexible hours and competitive compensation in USD.

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.
  • 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.

Responsibilities

  • 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.

Skills

Python
TypeScript
API design
LLM integration
Tool calling

Tools

Anthropic SDK
APIs
System integration

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.


Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.


When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.


AI Engineer (MCP) at BairesDev

As an AI Engineer (MCP), you will specialize in designing and implementing Model Context Protocol servers to provide LLMs with seamless access to external data and tools. You will act as a key link between advanced AI models and the broader technical ecosystem, ensuring that agents can interact with real-world systems reliably and securely.


What You'll Do:


  • 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.


What we are looking for:


  • 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.


How we do make your work (and your life) easier:


  • 100% remote work (from anywhere).

  • Excellent compensation in USD or your local currency if preferred

  • Hardware and software setup for you to work from home.

  • Flexible hours: create your own schedule.

  • Paid parental leaves, vacations, and holidays.

  • Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.

  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

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