We are a company focused on custom software development and have been in the market for over 22 years. At Ensitech, we are dedicated to finding highly specialized talent to work with large companies in the United States, Europe, and Canada.
Each one of our collaborators works with different teams and colleagues around the world, in the design and commercialization of software. We look forward to having you as part of our team in the role of Senior AI Engineer (MCP Connectors), building servers and connectors that securely link AI models with enterprise systems. You will receive client systems, understand their data and APIs, and come back with a plan to expose them to AI models in a safe and useful way, without daily supervision, in a startup-style environment with PostgreSQL and AWS.
Key Responsibilities
- Design and build MCP (Model Context Protocol) servers and connectors that link LLMs with enterprise systems (ERPs, CRMs, internal databases).
- Integrate OpenAI and/or Anthropic APIs into production products.
- Define tools, schemas, and permissions so models can query and operate on business data securely.
- Evaluate new client systems and propose the AI integration architecture.
Required Skills & Experience
- 7+ years of total career experience in software engineering.
- Has built at least one MCP server or connector that links AI models with enterprise systems.
- Senior-level proficiency in Python or TypeScript.
- Experience with OpenAI or Anthropic APIs (tool use / function calling).
- Experience in software companies or startups.
- Advanced English.
Nice to Have
- Connectors built on Oracle or NetSuite (a big plus).
- PostgreSQL and AWS.
- Valid U.S. visa.
What do we offer?
✅ Competitive salary and benefits.
✅ International and innovation-driven environment.
📌 Senior AI Engineer (MCP Connectors) (Ciudad de México)
🏢 Empresa reconocida
📍 Ciudad de México
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.