Workana

Oct 27, 2026

AI Engineer

RemoteMexico

Ciudad de México, Mexico

TypeScriptPythonReactC#

About the opportunity

Workana is the largest remote work platform for talent in Latin America. Our division focuses on matching exceptional professionals with leading and innovative companies around the globe.

About the client

Our client is an innovative company developing enterprise-grade solutions to automate business processes and connect AI capabilities with enterprise data.

We are looking for an experienced AI Engineer to join the engineering team and build reliable, scalable AI-powered applications.

This is a fully remote opportunity for professionals based in Latin America, working closely with an international team in an English-speaking environment.

Role overview

As an AI Engineer, you will design, build, and deploy enterprise AI applications using Python, C#, and Microsoft Azure. You will turn technical designs into production-ready solutions, integrating LLMs, retrieval-augmented generation (RAG) pipelines, and AI agent workflows with enterprise data and backend systems.

We are looking for an engineer who can work autonomously in a remote environment, translate technical designs into functional systems, collaborate effectively with cross-functional international teams, and communicate fluently in English.

Selection process

The process usually consists of 4 stages and takes on average 4-6 weeks to be completed depending on eventual additional technical rounds or take home tests.

Initial interview with recruiting team;

Technical interview with client;

Cultural fit interview with client's manager;

Final interview with C-level.

As Workana has multiple clients, if you pass the 1st round with Workana's recruiting team, you will be eligible to be presented to different clients in case the 1st one doesn't succeed.

Responsibilities

Build and maintain enterprise AI-powered applications and backend services using Python and C#.

Integrate Large Language Models (LLMs) and generative AI capabilities into business process workflows.

Develop and optimize RAG pipelines connecting LLMs with enterprise knowledge bases and structured or unstructured data.

Implement AI agents, tool-calling capabilities, and orchestrated workflows to automate complex business tasks.

Design and develop secure REST APIs and microservices using FastAPI, C#, and .NET.

Build, containerize, and deploy cloud applications using Microsoft Azure (Azure AI Foundry, Blob Storage, Container Apps, AKS) and CI/CD automation.

Evaluate AI outputs, improve retrieval quality, troubleshoot issues, and optimize latency, reliability, and cloud resource consumption.

Collaborate with AI architects, data scientists, and engineering teams to translate architecture designs into reliable deliverables.

Minimum requirements

Requirements

Strong professional software engineering experience with Python and C#.

Hands-on experience developing REST APIs, backend services, and microservices architectures.

Solid experience with cloud-based development and containerized deployments, preferably on Microsoft Azure.

Proven experience with generative AI, LLM integration, and frameworks such as LangChain, Semantic Kernel, or similar.

Practical knowledge of RAG architecture, embeddings, vector search, and data retrieval pipelines.

Strong understanding of software engineering best practices, CI/CD pipelines, automated testing, and secure coding.

Strong analytical, troubleshooting, and problem-solving skills with the ability to work independently.

Advanced English proficiency (C1) is mandatory, as the role involves active technical discussions and international collaboration.

Must be based in Latin America.

Bonus points

Experience with frontend development and UI integration using React and TypeScript.

Benefits

Compensation in USD

Fully remote work within Latin America with flexible time schedules

Career growth with international clients and dynamic projects

This is a long-term independent contractor agreement with no additional benefits such as paid time off, health insurance, etc.

Languages

AI Engineer

About the opportunity

About the client

Role overview

Selection process

Responsibilities

Minimum requirements

Requirements

Bonus points

Benefits

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