Remote AI Engineer (MCP) — LLM Tooling & Data Access
BairesDev
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Benefits offered by this job
Job summary
BairesDev is seeking an AI Engineer (MCP) to design and implement MCP servers that give LLMs access to external data and tools within production-grade systems.
You will work with Python or TypeScript, building tool calling logic, integrating API connections, and ensuring secure, low-latency interactions with external resources via the Anthropic SDK.
This 100% remote role offers competitive USD compensation and flexible hours, with opportunities to collaborate across a global Top 1% talent pool.
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.
- 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 data and capabilities.
- Implement sophisticated tool calling logic and API integrations for multi-step actions.
- Leverage the Anthropic SDK to connect LLMs with external resources.
- Optimize the integration layer for low-latency, reliable communication between MCP hosts and servers.
- Define and manage standardized schemas for tools and resources for consistency.
Skills
Tools
Job description
BairesDev is seeking an AI Engineer (MCP) to design and implement MCP servers that give LLMs access to external data and tools within production-grade systems.
You will work with Python or TypeScript, building tool calling logic, integrating API connections, and ensuring secure, low-latency interactions with external resources via the Anthropic SDK.
This 100% remote role offers competitive USD compensation and flexible hours, with opportunities to collaborate across a global Top 1% talent pool.
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