Senior AI Platform Engineer: RAG, LLMs & Cloud-Native Apps

QUALCOMM, Inc.; San Diego (CA); On-site; USD 118,000 - 177,000; Full time

Job summary

Qualcomm Incorporated in San Diego is seeking a hands-on Senior Software Engineer for our Enterprise AI Platform and Solutions team. You will contribute to the design, development, and delivery of next-generation AI-powered applications, developer experiences, and reusable platform capabilities across the enterprise.

This role emphasizes building RAG solutions, integrating LLM-powered capabilities, and deploying cloud-native AI services with Kubernetes, API design, and robust CI/CD pipelines in

Qualifications

• Bachelor’s degree or higher in a relevant field with 2+ years of software engineering experience.
• Experience with programming languages listed in the skills section.
• Hands-on experience with AI-powered apps, LLMs, or RAG systems is preferred.

Responsibilities

• Build and optimize RAG solutions including ingestion, embeddings, and vector search.
• Develop and integrate LLM-powered capabilities into enterprise apps.
• Architect and operate scalable cloud-native AI solutions on Kubernetes.
• Design APIs, services, and integration layers exposing AI capabilities.
• Develop production-ready CI/CD pipelines and observability tooling.

Skills

Python

Java

C#.NET

Rust

JavaScript

TypeScript

React.js

Angular

Node.js

HTML

CSS

Education

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

Master's degree in Engineering, Information Systems, Computer Science, or related field

PhD in Engineering, Information Systems, Computer Science, or related field

Tools

Elasticsearch

Vector search

Docker

Kubernetes

Job description

Qualcomm Incorporated in San Diego is seeking a hands-on Senior Software Engineer for our Enterprise AI Platform and Solutions team. You will contribute to the design, development, and delivery of next-generation AI-powered applications, developer experiences, and reusable platform capabilities across the enterprise.

This role emphasizes building RAG solutions, integrating LLM-powered capabilities, and deploying cloud-native AI services with Kubernetes, API design, and robust CI/CD pipelines in