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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineer, AI Platforms and Solutions - **Company:** Qualcomm - **Location:** San Diego, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $111,300.0 - $166,900.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), HTML, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, User Authentication, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Cascading Style Sheets (CSS), Cloud Engineering, Information Systems, Computer Programming, Data Integration, Software Debugging, Distributed Systems, Elasticsearch, Design of User Interfaces, Python (Programming Language), Knowledge Management, Node.Js, Performance Tuning, Search Technologies, Software Engineering, Systems Integration, TypeScript, Enterprise Search, Rust (Programming Language), Data Processing, Google Cloud, Enterprise Software Applications, Spring Cloud, ReactJS, System Availability, Large Language Models, Grafana, Multi-Agent Systems, Generative AI, Indexer, Backend, AI Platforms, AngularJS, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Low Latency, Front End Software Development, Api Design, Docker, Programming Languages, Microservices - **Published:** September 5, 2026 - **Apply:** https://www.dice.com/job-detail/d18af27e-72cd-4f53-9608-cc671eb54f5d ## About the Role This is a fast-paced, execution-driven position that requires strong ownership, the ability to deliver under tight timelines, and the ability to deliver production-quality solutions under evolving requirements. This role requires full-time onsite work in San Diego, CA (5 days per week)., 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 in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc., * 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 Nice-to-Have * Tracing/observability tools for LLM systems * Experience with Elasticsearch / vector search * Docker / Kubernetes exposure * Multi-agent systems and evaluation frameworks ## Description * 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., Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). ## Related Videos - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [NoLoJS - Avoiding JavaScript Cruft with HTML and CSS - Aaron T. 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