Build the Next Generation of Enterprise AI Our client is building a high-growth AI and Digital Transformation practice focused on helping enterprise organizations harness the power of Generative AI, intelligent automation, and modern data platforms.

Rather than building experimental AI models, this team develops production-ready AI applications that improve how businesses operate—leveraging technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, cloud platforms, and enterprise integrations.

This is an opportunity to work on cutting-edge AI initiatives for enterprise and middle-market clients while collaborating with experienced architects, consultants, and engineering leaders who are shaping the future of enterprise AI.

What You'll Do
As an AI Engineer, you'll design and build intelligent applications that solve real business problems using modern AI technologies.

Responsibilities include:
Design and develop enterprise AI applications using Large Language Models (LLMs)
Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge bases and document repositories
Develop AI-powered assistants, copilots, and intelligent workflow applications
Build AI Agents capable of automating business processes and interacting with enterprise systems
Integrate AI capabilities with APIs, cloud services, and enterprise applications
Develop scalable backend services using Python and modern application frameworks
Partner with solution architects, consultants, and business stakeholders to translate requirements into production-ready AI solutions
Participate in application architecture, testing, deployment, and continuous improvement
Stay current on emerging AI technologies and recommend innovative approaches for client engagements

Qualifications
We're looking for engineers who combine strong software development fundamentals with hands-on experience building modern AI applications.





Idóneo candidates will have experience with many of the following:
Programming
Python
FastAPI or Flask
REST APIs
Git
Docker

Generative AI
OpenAI
Azure OpenAI
Anthropic Claude
Prompt Engineering
Large Language Models (LLMs)

Enterprise AI
Retrieval-Augmented Generation (RAG)
AI Agents
Vector Databases
Embeddings
Semantic Search

AI Frameworks
Experience with one or more:
LangChain
LangGraph
Semantic Kernel
LlamaIndex
CrewAI
AutoGen

Cloud Platforms
Experience with one or more:
Microsoft Azure
AWS
Google Cloud Platform

Enterprise Technologies
Experience integrating AI with platforms such as:
Microsoft 365
SharePoint
Salesforce
ServiceNow
SAP
Databricks
Snowflake
Anthropic

Preferred Qualifications
3+ years of professional software engineering experience
Experience building production applications using Python
Experience developing Generative AI or LLM-based applications
Strong understanding of APIs, cloud platforms, and modern software architecture
Experience deploying production applications in Azure, AWS, or Google Cloud
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience

Nice to Have
Experience with any of the following is a plus:
Azure AI Foundry
AWS Bedrock
Anthropic
GitHub Copilot
Cursor
PromptFlow
MCP (Model Context Protocol)
Kubernetes
CI/CD pipelines
MLOps
Power Platform
n8n
UiPath

What Makes This Opportunity Different
This isn't a traditional software engineering role.

You'll help organizations transform the way they operate by building intelligent applications that improve productivity, automate business processes, and unlock enterprise knowledge using the latest advancements in Generative AI.

You'll work alongside experienced architects and consultants delivering real AI solutions—not proofs of concept—to enterprise clients across a variety of industries.

If you're passionate about building practical AI applications that solve meaningful business challenges, we'd love to connect.

📌 AI Engineer (Generative AI | RAG | AI Agents) (Ciudad de México)
🏢 10x Advisory
📍 Ciudad de México