The common responsibilities for this position include designing, developing, and deploying AI-powered tools, applications, and solutions based on internal and client needs. This involves fine-tuning and implementing large language models (LLMs) for specific business functions, integrating AI tools into existing company systems and workflows such as CRM and task automation, and incorporating external APIs and services. Additionally, the role requires collaborating with business and operations teams to translate ideas into scalable AI features, developing backend systems for internal or external AI tools, and utilizing frameworks like LangChain and Retrieval-Augmented Generation. Monitoring the performance of deployed tools, making iterative improvements, and writing clear technical documentation to support maintenance and future upgrades are also key responsibilities.
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.
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.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position