AI Engineer

Role & responsibilities

• Design, develop, and implement AI/ML solutions based on business requirements.
• Develop and deploy Generative AI and LLM-based applications for business use cases.
• Build AI-powered automation solutions to improve operational efficiency and reduce manual processes.
• Work with APIs, AI models, prompt engineering, and AI frameworks to develop intelligent applications.
• Integrate AI solutions with existing business applications, databases, and internal systems.
• Develop and optimize chatbots, virtual assistants, recommendation systems, document-processing solutions, and other AI applications.
• Work with structured and unstructured data to prepare datasets and support AI model development.
• Evaluate AI models for accuracy, performance, reliability, and scalability.
• Implement appropriate testing, monitoring, and continuous improvement of AI solutions.
• Collaborate with business, technology, and functional teams to identify opportunities where AI can create measurable business value.
• Stay updated with emerging AI technologies, tools, frameworks, and industry trends and assess their applicability to the organization.
• Ensure AI solutions follow appropriate standards relating to data security, privacy, governance, and responsible AI usage.