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