AI Success Engineer (AI)

TL;DR

AI Success Engineer (AI): Providing technical support and ensuring client success with an industry-leading generative AI platform, with an accent on data integrations, model functionality, and API connectivity. Focus on troubleshooting complex technical issues, analyzing large datasets, and proactive client experience improvement.

Location: Remote (candidates must be authorized to work in the US, implied by EEO statement)

Company

hirify.global provides a generative AI platform for tabular data, built on MIT research, enabling business users to leverage no-code AI/ML and build enterprise-wide AI apps.

What you will do

• Serve as the first point of contact for enterprise clients, providing technical assistance with platform access, model functionality, data integrations, and API connectivity.
• Troubleshoot and resolve technical issues to maintain high client satisfaction and loyalty.
• Analyze large datasets and collaborate with clients to optimize their platform usage.
• Partner with engineering, product, and internal teams to escalate and resolve complex issues.
• Stay up-to-date with emerging technologies, particularly AI and machine learning.
• Contribute to internal documentation by identifying and adding new solutions and troubleshooting steps.

Requirements

• At least 1-3 years of experience in a technical support or client-facing role, preferably with enterprise clients.
• Solid working knowledge of Python and data analytics.
• Familiarity with cloud platforms such as AWS and Azure.
• Strong troubleshooting skills with the ability to resolve technical issues quickly and effectively.
• Excellent communication skills, both written and verbal.
• Ability to learn new technologies quickly, especially in AI and machine learning.

Nice to have

• Knowledge of data transformation (e.g., using Python pandas library), database management, data integration, or data visualization.
• Experience documenting issues, creating ticket details, and communicating resolutions within Service Level Agreement timeframes.
• Exposure to AI or machine learning concepts (hands-on experience not required).

Culture & Benefits

• Opportunity to work directly with customers and solve technical challenges.
• Work in a dynamic, fast-paced environment and contribute to a growing team.
• Focus on learning and applying emerging technologies, including AI and machine learning.
• Commitment to equal employment opportunity and non-discrimination.
• Access to hirify.global Academy's educational support for upskilling in AI.