Generative AI Engineer - LLMs & RAG Specialist

Latitude; Northern, San Diego (KY, CA); Hybrid; USD 115,000 - 172,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. You will design, develop, and deploy cutting-edge generative AI solutions focusing on LLMs, RAG, and intelligent agent systems.

The role involves building RAG-based solutions, fine-tuning strategies, evaluating model performance, and creating autonomous AI workflows in a collaborative, cross-functional environment.

Qualifications

• Bachelor's degree in a related field is required.
• Experience with LLM frameworks and generative AI is preferred.
• Strong background in ML deployment and RAG is desirable.

Responsibilities

• Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
• Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
• Create robust evaluation frameworks for measuring and improving model performance
• Build and maintain agentic workflows for autonomous AI systems
• Collaborate with cross-functional teams to identify opportunities and implement AI solutions

Skills

Python

PyTorch

TensorFlow

LLM deployments

Fine-tuning

Vector databases

Embeddings

AWS

GCP

Azure

RAG architectures

Agile

Communication

Code quality

AI ethics

Education

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field

Tools

Langchain

LlamaIndex

Transformers

Job description

Qualcomm Technologies, Inc. seeks an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. You will design, develop, and deploy cutting-edge generative AI solutions focusing on LLMs, RAG, and intelligent agent systems.

The role involves building RAG-based solutions, fine-tuning strategies, evaluating model performance, and creating autonomous AI workflows in a collaborative, cross-functional environment.