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J oin our dynamic team as an AI Engineer, tasked with designing and building cutting-edge tools while guiding a group of enthusiastic learners in their early AI journey. If your passionate about creating impactful AI solutions and mentoring the next generation of talent, we would love to hear from you.
• Design, develop, and deploy Agentic AI apps to automate data engineering practices using the latest Gen AI models.
• Breakdown complex AI ideas into digestible lessons
• Knowledgeable with AI concepts, tools, and best practices.
Required Skills
• Highly Motivated
• Agentic Framework and Skills
o Building AI agents
o Tandem and parallel models
o IBM Orchestrate (optional)
• Strong knowledge of Python and the following Libraries:
o Scikit libraries
o TensorFlow
o Open AI
o PANDAS
o Regex Patterns
o Flask (optional)
o Requests (optional)
• Experiencing differentiating between data models (example meta vs openai) based on project requirements
• Experience with Prompt engineering
o Write things clearly for AI to understand
o Input standardization to help with RAG
• Experience with Natural Language Processing
o Best practices for tokenization and chunking
o Vector Datastores
• Experience deploying scalable AI models
• Strong knowledge of RDBMS (e.g. SAP HANA, DB2, SQL Server)
• Strong understanding of SQL.
• Excellent problem-solving skills and attention to detail.
• Ability to thrive in a face-paced, collaborative environment.
10 years of experience is required
• Design, develop, and deploy Agentic AI apps to automate data engineering practices using the latest Gen AI models.
• Breakdown complex AI ideas into digestible lessons
• Knowledgeable with AI concepts, tools, and best practices.
Required Skills
• Highly Motivated
• Agentic Framework and Skills
o Building AI agents
o Tandem and parallel models
o IBM Orchestrate (optional)
• Strong knowledge of Python and the following Libraries:
o Scikit libraries
o TensorFlow
o Open AI
o PANDAS
o Regex Patterns
o Flask (optional)
o Requests (optional)
• Experiencing differentiating between data models (example meta vs openai) based on project requirements
• Experience with Prompt engineering
o Write things clearly for AI to understand
o Input standardization to help with RAG
• Experience with Natural Language Processing
o Best practices for tokenization and chunking
o Vector Datastores
• Experience deploying scalable AI models
• Strong knowledge of RDBMS (e.g. SAP HANA, DB2, SQL Server)
• Strong understanding of SQL.
• Excellent problem-solving skills and attention to detail.
• Ability to thrive in a face-paced, collaborative environment.
10 years of experience is required