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Sr. Engineer, AI Platforms and Solutions

Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence

In short

We are looking for a hands-on Senior Software Engineer to join Qualcomm's Enterprise AI Platform and Solutions team. You will contribute to designing, developing, and delivering next-generation AI-powered applications and platform capabilities. This fast-paced role requires strong ownership and the ability to deliver production-quality solutions under tight deadlines.

Responsibilities

  • Build and optimize Retrieval-Augmented Generation (RAG) solutions, including document ingestion, indexing, embeddings, vector search, reranking, retrieval optimization, grounding, and evaluation frameworks.
  • Develop and integrate LLM-powered capabilities, agents, and AI services into enterprise applications.
  • Design, develop, and enhance end-to-end AI-powered enterprise applications, including backend services, APIs, agentic workflows, and modern user experiences.
  • Architect, deploy, and operate scalable cloud-native AI solutions on Kubernetes and public cloud platforms.
  • Design and implement APIs, MCP-compatible services, enterprise connectors, and integration layers.
  • Build and maintain production-ready CI/CD pipelines, infrastructure automation, observability, monitoring, tracing, and operational tooling.
  • Optimize system performance across application, retrieval, inference, and data-processing layers.
  • Collaborate with AI/ML, platform, infrastructure, security, and product teams to deliver robust AI solutions and establish engineering best practices.

Requirements

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience; OR Master's degree and 1+ year of experience; OR PhD.
  • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Desired Qualifications

  • Strong programming skills in Python, Java, C#.NET, Rust, JavaScript, TypeScript, React.js, Angular, Node.js, HTML, and CSS.
  • Experience designing and building full-stack applications, including user interfaces, backend services, APIs, data integration layers, and distributed systems.
  • Hands-on experience developing, integrating, or deploying AI-powered applications utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, or agentic workflows.
  • Experience building enterprise search, retrieval, indexing, or knowledge management solutions using modern search technologies, vector databases, embeddings, or related capabilities.
  • Experience developing and deploying cloud-native applications on AWS, Azure, or Google Cloud Platform, with familiarity in containerized and Kubernetes-based environments.
  • Strong understanding of API design, microservices architectures, application integration patterns, authentication, authorization, and frontend/backend interaction.
  • Experience debugging across both traditional systems and AI/LLM-driven behavior.
  • Familiarity with tracing/observability tools for LLM systems.
  • Experience with Elasticsearch / vector search.
  • Docker / Kubernetes exposure.
  • Experience with multi-agent systems and evaluation frameworks.

Benefits

  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package designed to support your success at work, at home, and at play.

Skills

PythonJavaC#.NETRustJavaScriptTypeScriptReact.jsAngularNode.jsHTMLCSSLLMRAGKubernetesAWSAzureGoogle Cloud PlatformAPIsmicroservicesElasticsearchDocker
#AI Platforms#AI Solutions#Software Engineering#LLM#RAG#Cloud-Native#Kubernetes#API#Microservices
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About Qualcomm

Enabling a world where everyone and everything can be intelligently connected.

Enabling a world where everyone and everything can be intelligently connected.\n\n

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Company

Qualcomm

Job Posted

6 days ago

Employment Type

Full Time

Work mode

On Site

Salary

US$117,800–176,600 / year

Experience Level

Senior

Locations

San Diego, United States of America

Qualification

Bachelor, Master, Doctoral

Applicants

Be an early applicant