AI and DevOps Engineer

NXT4SAP Pte. Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NXT4SAP Pte. Ltd. in Singapore seeks an innovative AI and DevOps Engineer to lead the integration of Azure AI services with enterprise-grade infrastructure.

You will manage cloud environments, optimize performance, and ensure secure, scalable applications for global clients. As part of a multinational team, you will implement CI/CD pipelines, monitor systems with Azure tools, and pursue cost-efficient, high-availability architectures while staying compliant with data-security standards such as

Qualifications

• 5+ years of Python development.
• 5+ years with Azure DevOps Services.
• Experience with Azure OpenAI, Document Intelligence and Cognitive Search is required or preferred.

Responsibilities

• Integrate Azure AI services into enterprise workflows.
• Design and implement cloud-native architectures using Azure Functions, Logic Apps, and serverless computing.
• Build secure, scalable APIs to connect AI services with enterprise systems.
• Develop CI/CD pipelines to automate deployment, testing, and monitoring.
• Implement robust data security measures and ensure compliance with standards.

Skills

Azure OpenAI

Python

Azure DevOps

API Development

Cloud Architecture

Security & Compliance

CI/CD

Azure AI Studio

Tools

Azure Functions

Logic Apps

Event Grid

Azure Monitor

Job description

AI and DevOps Engineer

• 5 years of work experience with Python (Programming Language).

• 5 years of work experience with Azure DevOps Services.

• (Prefered not a must-have) 5 years of work experience with Azure AI Studio.

At NXT4AP, we are seeking an innovative and highly skilled AI and DevOps Engineer to lead the integration of advanced AI services with enterprise-grade infrastructure. This role focuses on leveraging Azure AI capabilities, managing cloud-based environments, and optimizing performance for scalable and secure applications.

As part of a global team, you will collaborate to deliver cutting-edge solutions that redefine automation and efficiency for our clients across diverse markets.

Responsibilities

• Integrate Azure AI services, including OpenAI, Document Intelligence, and Cognitive Search, into enterprise workflows and applications.

• Design and implement cloud-native architectures using Azure Functions, Logic Apps, and serverless computing.

• Build secure, efficient, and scalable APIs to connect AI services with enterprise systems.

• Optimize AI service utilization, ensuring cost-efficiency, low latency, and high availability.

• Develop CI/CD pipelines to automate deployment, testing, and monitoring for seamless operations.

• Implement robust data security measures, including encryption, Azure Key Vault, and compliance with standards like GDPR and ISO 27001.

• Monitor system performance using Azure Monitor, Application Insights, and similar tools to identify and resolve bottlenecks.

• Collaborate with cross-functional teams to explore and implement new AI development tools and frameworks, enhancing automation capabilities.

Skills & Experience

• AI Service Integration: Hands-on experience with Azure OpenAI, Document Intelligence, and Cognitive Search.

• Cloud Infrastructure: Proficiency in Azure serverless architecture (Functions, Logic Apps, Event Grid) and DevOps workflows.

• Programming Expertise: Strong skills in Python, with familiarity in other languages like C# or Node.js.

• API Development: Expertise in building and managing RESTful APIs, ensuring secure and efficient data exchange.

• Optimization and Scalability: Experience in performance tuning, caching strategies, and scaling applications in cloud environments.

• Security and Compliance: Knowledge of industry standards such as GDPR, SOC 2, and ISO 27001, with practical experience in implementing compliance measures.

• DevOps Practices: Proficiency in CI/CD tools like Azure DevOps or GitHub Actions, and monitoring tools like Azure Monitor.

• AI Development Tools: Interest or experience in exploring tools like Azure Machine Learning, AutoML, or prompt engineering techniques for LLM optimization.

Personal Skills

• Curiosity and Innovation: Passion for experimenting with the latest AI tools and cloud technologies to discover new possibilities.

• Ownership: A self-driven professional who takes pride in delivering high-quality results and continuously improving processes.

• Problem-Solving: Analytical mindset to tackle complex challenges and deliver innovative solutions.

• Collaboration: Excellent interpersonal skills to work effectively within a global and cross-functional team.

• Adaptability: Thrive in dynamic, fast-paced environments and adapt to evolving requirements.

What We Offer

• An opportunity to work with cutting-edge AI and cloud technologies, driving innovation in automation and efficiency.

• A flexible and collaborative international workspace with a strong focus on professional growth.

• A chance to contribute to impactful projects with global clients across diverse industries and languages.

• Competitive compensation and a supportive, forward-thinking team culture for personal and professional growth.