LLM Research Scientist

*About Cummins AI Lab**

· The Cummins AI Lab is a global innovation hub dedicated to advancing frontier AI capabilities and deploying AI solutions across Cummins’ engineering, manufacturing, service, and industrial operations worldwide.

· We focus on **applied LLM research**, domain-specific model development, and end-to-end enterprise AI transformation.

· We are seeking a **Senior LLM Research Scientist** to drive advanced research, design next-generation domain LLMs, and influence the AI Lab’s future technical direction.

• Role Overview**

· This is a **senior-level, high-autonomy role** requiring deep expertise in large language models, applied AI research, and complex problem-solving. You will explore the latest LLM advancements, design LLM-driven solutions tailored to Cummins’ engineering and industrial scenarios, and play a central role in building our domain-specific enterprise LLM.

· Candidates must demonstrate strong applied research capabilities, cross-disciplinary thinking, and a proven ability to bring research into real-world production.

• Key Responsibilities***1. Frontier LLM Research & Technology Exploration**

· Investigate state-of-the-art LLM and multimodal technologies: RAG, Agents, tool use, reasoning, alignment, knowledge injection, and domain adaptation.

· Analyze global research trends and define how emerging techniques can be applied to Cummins’ engineering and industrial workflows.

· Lead deep technical explorations and novel architecture experimentation.

• 2. Domain-Specific LLM Development**

· Architect domain-grounded LLM solutions for engineering design, simulation workflows, diagnostics, service operations, manufacturing, and technical documentation.

· Build pipelines for SFT/IFT, retrieval-augmented reasoning, prompt engineering, and knowledge-grounded inference.

· Integrate structured and unstructured engineering knowledge (CAD/CAE outputs, diagnostic logs, manuals, sensor data).