Sr. Engineer, AI Platforms and Solutions
$111,300 - $166,900 USD yearly
Originally posted 2 September 2026 by the employer.
Build and optimize Retrieval-Augmented Generation (RAG) solutions.
About the role
As a Senior Software Engineer, you will contribute to the design, development, and delivery of AI-powered applications, developer experiences, and reusable platform capabilities across the enterprise. This role involves full-time onsite work in San Diego, CA.
What you'll do
- 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.
- 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.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering experience OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering 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.
- 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.
Skills: Retrieval-Augmented Generation, LLM-powered capabilities, Kubernetes, cloud-native AI, Python, vector databases
This role has been open 42 days — below the 50-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
973
|
Median days open
50 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (973 roles · 85 employers) |
|---|---|---|
| Open roles in this specialty | 62 | 973 |
| Open roles in the wider Software, Firmware & Systems family | 715 | 6136 · 145 employers |
| Median days open | 56 d | 50 d (+6 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: Retrieval-Augmented Generation, LLM-powered capabilities, Kubernetes, cloud-native AI, Python, vector databases
Who's hiring in this category
- NVIDIA · 289 open roles · median 44 d
- Qualcomm (this employer) · 61 open roles · median 57 d
- AMD · 57 open roles · median 21 d
- Graphcore · 44 open roles · median 90 d
- Intel Corporation · 40 open roles · median 9 d
- Cerebras · 39 open roles · median 80 d
How we counted: 973 open Infrastructure/Platform Software (Infrastructure Platform) roles from 85 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.