Talantix.io
RAPSYS TECHNOLOGIES PTE LTD•08.02.26
AI SCORE 8.5

Senior AI Engineer - Azure, AI & Automation

$120K–$150K/year
RemoteIT Services and Consulting
Artificial Intelligence•Machine Learning•Azure•Data Analysis•REST API•Automation

About the Role

We're hiring a Senior AI Engineer to join our innovative team at RAPSYS Technologies PTE LTD. This Senior AI Engineer remote position offers the opportunity to work from anywhere while driving impactful AI solutions. You will leverage your extensive experience in artificial intelligence, machine learning, and data analysis to design, implement, and optimize AI models that enhance our products and services.

What You'll Do

  • Design and develop AI models using Azure technologies to improve product functionality.
  • Implement and optimize machine learning algorithms for various applications.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Build and maintain REST APIs to facilitate communication between services.
  • Utilize Azure OpenAI and Azure AI Foundry for LLM-powered workflows and automation.

Requirements

  • Proven experience as a Senior AI Engineer remote with a focus on Azure and automation.
  • Hands-on experience with Microsoft Azure, including Azure Container Apps and AKS.
  • Strong understanding of Azure networking, identity, and security basics.
  • Experience in designing and building REST APIs and Azure APIM.
  • Familiarity with prompt-based automation and orchestration.

Nice to Have

  • Experience with Azure Functions and Logic Apps.
  • Knowledge of agentic patterns and human-in-the-loop systems.
  • Familiarity with AI and LLM integration techniques.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 per year.
  • Flexible remote work arrangements.
  • Opportunity to work on cutting-edge AI technologies.
  • Collaborative and innovative team environment.
  • Professional development and growth opportunities.
Why This Job8.5 of 10

This Senior AI Engineer role at RAPSYS Technologies offers a competitive salary and the opportunity to work with cutting-edge Azure technologies in a fully remote setting.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficiency in Azure AI services and tools such as Azure Machine Learning and Azure Databricks, demonstrating hands-on experience in deploying machine learning models in a cloud environment.

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Strong analytical mindset combined with experience in data analysis and visualization tools (e.g., Power BI, Tableau) to derive actionable insights from complex datasets in a remote work setting.

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Deep understanding of REST API development and integration, with experience in automating workflows and processes using tools like Azure Logic Apps or Power Automate, ensuring seamless AI model deployment.

Learning Resources

→Azure Machine Learning Documentationguide
→Deep Learning Specialization by Andrew Ngcourse
→Data Analysis with Python and Pandasarticle

Career Path

Senior AI Engineer - Azure, AI & Automation(Now)→AI Architect(1-2 years)→Director of AI Solutions(3-5 years)

Market Overview

Market Size 2024
$126B
Annual Growth
38.8%
AI Adoption in Enterprises
60%
Investment in AI Startups
+150%
Labour Demand for AI Engineers
+40%
Avg Salary for Senior AI Engineer
$145K

Skills & Requirements

Required
Artificial IntelligenceMachine LearningAzure
Growing in Demand
Natural Language Processing (NLP)Deep Learning Frameworks (e.g., TensorFlow, PyTorch)Cloud Computing (specifically Azure services)
Declining
Traditional Statistical Analysis (e.g., SPSS, SAS)Rule-based Expert Systems

Domain Trends

Increase in AI-Driven Automation
By 2025, 70% of enterprises are expected to adopt AI-driven automation solutions, leading to increased efficiency and reduced operational costs.
Rise of Edge AI
The Edge AI market is projected to grow at a CAGR of 30.4% from 2024 to 2028, driven by the need for real-time data processing.
Ethical AI Implementation
Approximately 57% of organizations are prioritizing ethical AI practices in their development processes, reflecting a growing concern for responsible AI deployment.

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