AI/Data Platform Engineer

Job Summary We are looking for an experienced

AI/Data Platform Engineer with strong expertise in

Python, Data Engineering, Cloud, and DevOps to build, deploy, and manage scalable AI and data platform solutions. The ideal candidate should have hands-on experience in workflow automation, CI/CD pipelines, containerization, Azure cloud services, and production operations. Exposure to

Large Language Models (LLMs) and

Generative AI technologies will be a strong advantage. Key Responsibilities

• Design, develop, and maintain scalable AI and data platform solutions using Python.
• Build robust data engineering pipelines for data ingestion, transformation, and orchestration.
• Automate workflows using modern orchestration and CI/CD tools.
• Develop, deploy, and manage containerized applications using Docker.
• Implement and maintain CI/CD pipelines for reliable software delivery.
• Deploy and manage applications on Microsoft Azure cloud services.
• Monitor, troubleshoot, and optimize production environments.
• Collaborate with data scientists, software engineers, and platform teams to deliver AI-driven solutions.
• Ensure platform reliability, scalability, security, and performance.
• Integrate AI/LLM services into enterprise applications where applicable.
• Follow DevOps best practices for infrastructure automation, monitoring, and incident management.

Required Skills

• 6–7 years of experience in Python development and Data Engineering.
• Strong programming skills in Python.
• Experience designing and building data pipelines and ETL/ELT workflows.
• Hands-on experience with workflow automation tools.
• Strong knowledge of CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.).
• Experience with Docker and containerized application deployment.
• Strong experience working with Microsoft Azure cloud services.
• Good understanding of DevOps methodologies and production support.
• Experience with version control systems such as Git.
• Strong debugging, troubleshooting, and performance optimization skills. Good to Have
• Experience with LLM integration (OpenAI, Azure OpenAI, Anthropic, etc.).
• Hands-on experience with Generative AI frameworks such as LangChain, Semantic Kernel, or similar.
• Knowledge of Kubernetes and container orchestration.
• Experience with Infrastructure as Code (Terraform/Bicep).
• Familiarity with monitoring and logging tools such as Azure Monitor, Prometheus, Grafana, or Application Insights.
• Experience with REST APIs and microservices architecture.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Azure certifications are an added advantage.
• Strong communication and stakeholder management skills.
• Ability to work in Agile/Scrum environments. Skills: data engineering,automation,python