AI and DevOps Engineer
Summary
Singapore-based engineer integrating Azure AI services (OpenAI, Document Intelligence, Cognitive Search) into enterprise workflows, building serverless cloud architectures and secure APIs, and running CI/CD, monitoring, and security/compliance on Azure. Core stack: Azure (Functions, Logic Apps, Key Vault, Monitor), Python, with C#/Node.js exposure.
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.
NXT4AP
is proud to be an equal opportunity employer, committed to fostering an inclusive and diverse workplace where every individual is valued and respected. We encourage applicants from all backgrounds to apply. Please note that only candidates who meet the minimum qualifications for the role will be considered.