Generative AI Engineer: LLMs, RAG & Autonomous Agents

Qualcomm; San Diego (CA); On-site; USD 104,000 - 156,000; Full time

Benefits offered by this job

Annual discretionary bonus program

RSU grants

Comprehensive benefits package

Job summary

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

The role requires hands-on work with LLM frameworks, prompt engineering, and ML deployment pipelines, collaborating with cross-functional teams to drive practical AI outcomes.

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• Experience with LLM frameworks and prompt engineering preferred.
• Containerization and microservices architecture experience.
• Background in Reinforcement Learning and open-source contributions.
• Experience with ML ops and model deployment pipelines.

Responsibilities

• Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources.
• Develop and optimize LLM fine-tuning strategies for domain adaptation.
• Create robust evaluation frameworks for measuring 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

LLM deployments

Problem solving

Communication

Agile development

RAG architectures

Cloud platforms

Model evaluation

Analytical thinking

Team collaboration

Education

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

Tools

Langchain

LlamaIndex

Transformers

Docker

Kubernetes

AWS

GCP

Azure

Job description

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

The role requires hands-on work with LLM frameworks, prompt engineering, and ML deployment pipelines, collaborating with cross-functional teams to drive practical AI outcomes.