MCP Solutions Architect

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enroute rs are always up for a challenge. We ask questions, and we love to learn.

We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enroute r to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us.

We are looking for an MCP Solutions Architect to support client integrations, troubleshoot technical issues, and serve as the bridge between customer engineering teams and our internal AI engineering team.

This role is ideal for someone who enjoys working directly with clients, solving technical problems, and helping teams successfully adopt AI-powered solutions. Experience with MCP (Model Context Protocol) is highly preferred; strong interest in AI integration technologies also considered.

Requirements

• 3+ years of experience in a Solutions Architect, Backend Engineer, Data Engineer, Technical Support Engineer, or similar role.
• Strong Python skills.
• Experience with APIs and system integrations.
• Familiarity with MCP (Model Context Protocol) or strong interest in AI integration technologies.
• Experience working with LLMs such as OpenAI, Claude, Gemini, or similar.
• Strong SQL skills.
• Experience troubleshooting production systems.
• Comfortable working directly with clients and technical stakeholders.
• Excellent communication and problem-solving skills.

Tech Stack

• Python
• MCP
• FastAPI / FastMCP
• OpenAI, Claude, Gemini
• LangChain, LangGraph, CrewAI
• SQL, Snowflake
• ElasticSearch
• Docker
• AWS / GCP / Azure

Key Responsibilities

• Support clients during MCP integrations and onboarding.
• Troubleshoot integration issues and identify root causes.
• Review logs, API responses, and implementation patterns.
• Work closely with AI engineers to resolve technical issues.
• Provide technical guidance and best practices to client teams.
• Participate in client calls as a technical advisor.
• Create and improve documentation, runbooks, and troubleshooting guides.
• Help identify recurring issues and opportunities for process improvement.

Benefits

• Monetary compensation
• Year-end Bonus
• IMSS, AFORE, INFONAVIT
• Major Medical Expenses Insurance
• Life Insurance
• Funeral Expenses Coverage