AI Engineer

Responsibilities

• Design, develop, and maintain scalable AI solutions that enable the deployment, integration, and monitoring of intelligent applications in production environments.
• Build and deploy secure, reliable, and high-performing AI systems using modern cloud technologies and software engineering best practices.
• Collaborate with data scientists, software engineers, and domain experts to develop production-ready AI applications.
• Develop backend services, APIs, and AI platform components to support intelligent solutions.
• Implement and manage automated CI/CD pipelines for AI application deployment and continuous delivery.
• Monitor, optimize, and improve AI systems for scalability, reliability, performance, and operational excellence.
• Contribute to Agile/Scrum Dev Ops practices by supporting automation, testing, observability, and continuous improvement initiatives.

• 6+ years of experience in AI Engineering, Machine Learning, Artificial Intelligence, or related software engineering roles.
• Strong experience in designing and deploying AI/ML solutions in production environments.
• Hands‑on experience with AI technologies, AI agents, machine learning workflows, and cloud-based AI platforms.
• Experience with backend development, API integration, automation, and scalable software solutions.
• Knowledge of Dev Ops practices, CI/CD pipelines, monitoring, testing, and production support.
• Experience working in Agile/Scrum environments with cross‑functional teams.
• Strong understanding of software engineering principles, secure development practices, and cloud integration.

• Design and implement scalable AI solutions aligned with business and technical requirements.
• Develop, integrate, and maintain AI applications across different environments.
• Troubleshoot, optimize, and enhance AI system performance and reliability.
• Build automation frameworks and deployment pipelines for AI applications.
• Collaborate effectively with technical and non‑technical stakeholders.
• Apply best practices in coding, testing, monitoring, and operational excellence.
• Adapt to evolving AI technologies and contribute to continuous improvement of AI platforms.

• Opportunity to work on modern AI engineering initiatives involving machine learning, artificial intelligence, and AI agent technologies.
• A collaborative environment focused on innovation, automation, scalability, and high‑quality engineering practices.
• Exposure to building and operating production‑grade AI systems with a strong focus on reliability and performance.
• Opportunities to enhance expertise in AI platforms, cloud technologies, Dev Ops practices, and intelligent application development.

Want to discuss this opportunity in more detail? Feel free to reach out.