AI Engineer

Responsibility

The common responsibilities for this position include collaborating with cross-functional teams to understand client requirements and identify opportunities for AI-driven solutions. Design, develop, and refine prompts for generative AI tools and conduct thorough testing and evaluation of AI-generated outputs for quality assurance. Monitor and assess the performance of AI-driven solutions in production, addressing issues proactively, and provide prompt engineering support for AI-powered products and services. Develop and manage AI models from proof-of-concept to production, ensuring seamless integration and deployment on cloud platforms. Design and implement retrieval-augmented generation (RAG) systems and optimize LLM inference for performance and scalability. Create and maintain documentation for AI prompt engineering processes and best practices, and contribute to the ongoing development of the company's AI engineering capabilities. Stay updated with advancements in AI, LLM, and ML technologies, and provide technical leadership and mentorship to team members. Conduct data analysis, preprocessing, and feature engineering to prepare datasets for machine learning models, and develop and deploy AI-driven solutions across various applications.

Job Growth

Skills Requirement

The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.

• Skill Categories
• Specific Skill Sets

Skills Distribution

The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%