AI Engineer

Workana

. Design, build, and deploy enterprise AI applications using Python, C#, and Microsoft Azure .

Posted 10/28/2026contractRemote • Brazil, Uruguay, Colombia, Chile, Argentina, MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying enterprise AI applications using Python and C#, with a strong focus on integrating Large Language Models and optimizing cloud-based solutions on Microsoft Azure. Proficient in developing secure REST APIs and microservices, while applying best practices in software engineering and CI/CD automation.

Highest-signal resume keywords

Python ProgrammingC# DevelopmentMicrosoft AzureGenerative AI IntegrationREST API Development

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMicroservices ArchitectureCloud-Based DevelopmentContainerized DeploymentsRAG ArchitectureData Retrieval PipelinesCI/CD AutomationAutomated TestingSecure CodingFrontend Development

Soft Skills

Analytical SkillsTroubleshootingProblem-SolvingIndependent Work

Tools & Technologies

FastAPIAzure AI FoundryBlob StorageContainer AppsAKSLangChainSemantic Kernel

Industry Keywords

Enterprise AI ApplicationsLarge Language ModelsBackend ServicesOrchestrated WorkflowsUI Integration

Tech Stack

Tools & technologies

AzureCloudMicroservicesPythonReactTypeScript.NET

About the role

Key responsibilities & impact

Design, build, and deploy enterprise AI applications using Python, C#, and Microsoft Azure
Build and maintain enterprise AI-powered applications and backend services
Integrate Large Language Models 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 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

Requirements

What you’ll need

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
Must be based in Latin America
Experience with frontend development and UI integration using React and TypeScript (bonus)

Benefits

Comp & perks

Compensation in USD
Fully remote work within Latin America with flexible time schedules
Career growth with international clients and dynamic projects
Long-term independent contractor agreement
No additional benefits such as paid time off, health insurance, etc.