Artificial Intelligence (AI) Engineer

Sky Systems, Inc. (SkySys); Brasil; Presencial; BRL 100 000 - 130 000; Tempo integral

Resumo da oferta

A leading technology solutions provider in Brazil seeks a Service Delivery Manager to design, develop, and deploy AI solutions on the Microsoft Azure platform. Ideal candidates will have hands-on experience with Azure OpenAI, proficiency in Python, and a strong grasp of machine learning concepts. In this full-time role, you will work closely with pod-based teams ensuring innovative and scalable AI capabilities are delivered efficiently. Join us in advancing technology solutions that drive success and security.

Qualificações

• Hands-on experience with Azure OpenAI, Azure AI Studio, and Azure ML.
• Proficiency in Python and developing REST APIs.
• Strong understanding of machine learning concepts and AI integration.

Responsabilidades

• Design, build, and integrate AI components using Azure technologies.
• Develop and maintain REST APIs embedding AI capabilities.
• Support model monitoring, evaluation, and performance optimization.

Conhecimentos

Hands‑on experience with Azure OpenAI

Proficiency in Python

Strong understanding of basic machine learning concepts

Familiarity with Azure DevOps for CI/CD workflows

Excellent problem‑solving skills

Ferramentas

Azure AI Services

Azure Machine Learning

REST APIs

Descrição da oferta de emprego

Direct message the job poster from Sky Systems, Inc. (SkySys)

Service Delivery Manager @ SkySys | Recruitment & Staffing

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: Long Term

Work Schedule: 8 hours/day (Mon-Fri)

Work Hours: EST

The AI Engineer II is responsible for designing, developing, and deploying AI-enabled solutions on the Microsoft Azure platform. This role focuses on implementing advanced AI models, integrating AI services, and building internal tools that enhance enterprise platforms. The ideal candidate combines technical expertise with a collaborative mindset to deliver innovative, secure, and scalable AI solutions.

Key Responsibilities

• Design, build, and integrate AI components using Azure OpenAI, Azure AI Services, and Azure Machine Learning.
• Implement prompt engineering, embeddings, and retrieval-augmented generation (RAG) patterns for intelligent solutions.
• Develop and maintain REST APIs and services embedding AI capabilities into internal platforms.
• Collaborate within pod-based teams to deliver backlog initiatives and ensure timely delivery.
• Support model monitoring, evaluation, and iterative improvement for performance optimization.
• Adhere to defined governance, security, and acceptance criteria throughout the development lifecycle.

Required Skills & Qualifications

• Hands‑on experience with Azure OpenAI, Azure AI Studio, and Azure ML.
• Proficiency in Python and developing REST APIs.
• Strong understanding of basic machine learning concepts and AI integration patterns.
• Familiarity with Azure DevOps (repos, pipelines) for CI/CD workflows.
• Knowledge of data pipelines and cloud security fundamentals.
• Excellent problem‑solving skills and ability to work in agile, collaborative environments.

Preferred Skills

• Experience with RAG architectures, vector databases, and embedding models.
• Exposure to MLOps practices and model lifecycle management.
• Understanding of enterprise AI governance and compliance standards.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting