AI Engineer

Workana

12d•Remote

About The Position

Workana is hiring an AI Engineer for an innovative client developing enterprise-grade solutions that automate business processes and connect AI capabilities with enterprise data. This is a fully remote opportunity for professionals based in Latin America, working with an international team in an English-speaking environment. The AI Engineer will design, build, and deploy enterprise AI applications using Python, C#, and Microsoft Azure. The role involves turning technical designs into production-ready solutions and integrating LLMs, RAG pipelines, and AI agent workflows with enterprise data and backend systems. The engineer is expected to work autonomously, collaborate with cross-functional teams, and communicate fluently in English. The selection process usually has four stages and takes an average of four to six weeks, potentially longer if additional technical rounds or take-home tests are included: an initial interview with Workana's recruiting team, a technical interview with the client, a cultural-fit interview with the client's manager, and a final interview with a C-level executive. Candidates who pass Workana's initial recruiting round may also be presented to other clients if the first opportunity does not proceed. This is a long-term independent contractor agreement. The posting states that it does not include additional benefits such as paid time off or health insurance.

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.
Must be based in Latin America.

Nice To Haves

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

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 services 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 turn architecture designs into reliable deliverables.