Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.

Your Role and Responsibilities

Skills and tasks of interest include:

• [LLM for code generation] Implementation of pipelines that use foundational models for code generation specific to data tasks such as SQL for data retrieval.
• [Agents and Reasoning] Implementation of novel autonomous agentic systems to compete with Text-to-SQL on public leaderboards like BIRD and Spider 2.0
• [Knowledge Graphs, Multi-Modal FMs] Implementation of techniques sing combinations of foundational models, knowledge graphs, and multi-modal data for improving tasks such as data discovery and automated text-to-sql.
• [LLMs for DataOps] Implementation of generative AI tooling for DataOps such as data integration and flows, similar to usage of LLMs for DevOps.

Required Technical and Professional Expertise

• Applicants should be PhD & MS students pursuing graduate studies.
• Pursuing graduate studies in computer science and related fields.
• Strong programming skills in python.

Preferred Technical and Professional Expertise

• Familiarity and working expertise with large language models (LLMs).
• Familiarity with knowledge graphs, RAG, agentic frameworks.
• Familiarity with SQL, Langgraph, Langchain.