Senior AI Engineer

We are seeking a highly experienced Senior AI Engineer to join our team supporting our enterprise clients.  In this role, you will design, develop, and maintain enterprise-grade AI solutions built on cutting-edge LLM platforms, conversational AI frameworks, and cloud-based data ecosystems. You will be a key contributor to AI-powered product development and work closely with cross-functional stakeholders to deliver impactful, scalable solutions. 

Responsibilites

AI Platform Development & Integration 

• Architect, deploy, and manage AI-powered conversational platforms using LibreChat as the primary open-source framework. 

• Integrate and configure multiple LLM providers including Google Gemini, OpenAI, and other foundation models within enterprise environments. 

• Build and maintain AI pipelines including retrieval-augmented generation (RAG), prompt chaining, and agentic workflows. 

• Design and implement O365 Connectors to enable seamless AI integration with Microsoft Teams, Outlook, SharePoint, and related enterprise tools. 

• Build a scalable platform leveraging MongoDB, Vector DB and K8S/GKE clusters 

LLM Orchestration & Customization 

• Develop and fine-tune prompt engineering strategies, system instructions, and tool/function calling configurations across different LLM providers. 

• Build multi-agent workflows using frameworks such as LangChain, LlamaIndex, AutoGen, or similar orchestration libraries. 

• Evaluate model performance, hallucination rates, and benchmark LLMs for domain-specific use cases within the hospitality and gaming industry. 

System Architecture & DevOps 

• Design secure, scalable AI architecture aligned with enterprise security policies and compliance requirements. 

• Containerize and deploy AI services using Docker and Kubernetes; manage CI/CD pipelines for model serving and application delivery. 

• Implement monitoring, observability, and logging for AI systems in production environments. 

Collaboration & Stakeholder Management 

• Work closely with business analysts, product owners, and client stakeholders to translate requirements into technical solutions. 

• Produce and maintain comprehensive technical documentation including architecture diagrams, API specs, and runbooks. 

• Mentor junior engineers and conduct code reviews; champion best practices in AI engineering across the team. 

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical discipline. 
• 6–10 years of overall IT experience with at least 5+ years in AI/ML engineering, NLP, or LLM-focused development. 
• Hands-on experience deploying, customizing, and administering LibreChat for enterprise use; familiarity with LibreChat configuration, plugin/tool integrations, and multi-provider LLM setup is a must 
• Practical experience implementing vector search using pgvector on PostgreSQL; understanding of embedding models, dimensionality, and retrieval strategies for RAG use cases 
• Experience building O365 connectors and integrations with Microsoft Teams, Outlook, and SharePoint; familiarity with Microsoft Graph API and Adaptive Cards
•  Experience integrating Google Gemini (via Vertex AI or API), OpenAI, and other foundation models; understanding of model versioning, token management, cost optimization, and safety guardrails. 
• Strong command of Python; secondary proficiency in JavaScript/TypeScript is preferred. 
• Demonstrated track record of delivering enterprise AI solutions in production environments. 
• Excellent communication skills with the ability to present technical concepts to non-technical stakeholders.

Benefits

• 100% payroll + benefits by law
• Work from home (Anywhere in México)
• 30-day Christmas bonus
• 16 vacation days
• 1 economic day a year
• Grocery coupons
• Savings fund
• Home office stipend
• Major medical insurance
• Life insurance
• Training & certifications