Senior AI LangGraph Engineer
Location - México - Remote
Long term Contract
Salary - USD open as per expectations

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Role Overview
We are seeking a Senior AI/LangGraph Engineer to design, build, and productionize intelligent agent systems powered by large language models. This role will lead the development of reliable, observable, and secure multi-agent workflows using Python, LangGraph, FastMCP, and modern prompt-engineering practices.
The adecuado candidate combines strong software engineering fundamentals with practical experience building LLM applications. You will work across architecture, implementation, evaluation, and operations to turn complex business and technical requirements into scalable AI solutions.

Key Responsibilities
• Design and implement stateful, graph-based agent workflows using LangGraph and Python.
• Architect multi-agent systems with clear delegation, coordination, memory, tool use, and human-in-the-loop patterns.




• Build and integrate Model Context Protocol (MCP) servers and tools using FastMCP.
• Develop robust prompts, system instructions, structured-output strategies, and reusable agent behaviors.
• Create agent routing, planning, reflection, retrieval, and task-execution patterns that are reliable in production.
• Integrate LLMs with enterprise APIs, databases, vector stores, observability platforms, and business applications.
• Establish evaluation frameworks for agent quality, task completion, groundedness, latency, safety, and cost.
• Implement testing strategies for prompts, tools, workflows, failure modes, regressions, and adversarial inputs.
• Build safeguards for permissions, data privacy, prompt injection, unsafe tool use, and unauthorized actions.
• Improve system performance through model selection, caching, concurrency, context management, and token optimization.
• Partner with product, data, platform, security, and domai

📌 Senior AI LangGraph Engineer (México)
🏢 Natsoft
📍 México