Sr. Engineer, AI Platforms and Solutions
About The Position
Qualcomm is seeking a hands-on Senior Software Engineer to join its Enterprise AI Platform and Solutions team. The engineer will contribute to designing, developing, and delivering next-generation AI-powered applications, developer experiences, and reusable platform capabilities across the enterprise. This fast-paced, execution-driven role requires strong ownership and the ability to deliver production-quality solutions under tight timelines and evolving requirements. The position focuses on building enterprise AI applications and platform services, including RAG solutions, LLM-powered capabilities, cloud-native systems, integrations, and operational tooling. It is office-based in San Diego, California, and is expected to comply with the company's onsite work policy.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field and 2+ years of Software Engineering or related work experience; or a master's degree in one of these fields and 1+ year of related experience; or a PhD in one of these fields.
- 2+ years of academic or work experience with a programming language such as C, C++, Java, or Python.
Nice To Haves
- 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 using LLMs, 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 traditional systems and AI/LLM-driven behavior.
- Experience with tracing and observability tools for LLM systems.
- Experience with Elasticsearch or vector search.
- Exposure to Docker and Kubernetes.
- Experience with multi-agent systems and evaluation frameworks.
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 to improve knowledge discovery, automation, productivity, and business workflows.
- 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, ensuring high availability, security, reliability, and performance at enterprise scale.
- Design and implement APIs, MCP-compatible services, enterprise connectors, and integration layers that expose AI, search, and platform capabilities across applications.
- Build and maintain production-ready CI/CD pipelines, infrastructure automation, observability, monitoring, tracing, and operational tooling for AI applications and platform services.
- Optimize system performance across application, retrieval, inference, and data-processing layers, including latency, throughput, scalability, resiliency, and cost efficiency.
- Collaborate with AI/ML, platform, infrastructure, security, and product teams to deliver robust, production-grade AI solutions while establishing engineering best practices, governance, and operational excellence.
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for the annual bonus).
- Competitive benefits package designed to support employees at work, at home, and at play.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
