AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 6d ago
The date the source published, not the day we noticed it (2026-10-27). Last seen at its source 3h ago.
We have tracked this listing since 27 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil, Uruguay, Colombia, Chile, Argentina, Mexico
The description agrees: it names LATAM.
What the ad says
…Must be based in Latin America…
…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 additiona…
Pay not stated
Similar roles pay $72.5k–150k/yr
Middle 50% of 85 listings that do state pay — Engineering · all levels · LATAM · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workable employer's own board first seen 5d ago · last seen 3h ago
The listing
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.
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.