Sr. Engineer, AI Platforms and Solutions

Company

Qualcomm Incorporated

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

We are looking for a hands-on Senior Software Engineer for our Qualcomm’s Enterprise AI Platform and Solutions team. In this role, the candidate will contribute to the design, development, and delivery of next-generation AI-powered applications, developer experiences, and reusable platform capabilities across the enterprise.

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.

Key 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.

Minimum Qualifications

• 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.

Preferred 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
• Tracing/observability tools for LLM systems

Experience with Elasticsearch / vector search

Docker / Kubernetes exposure

Multi-agent systems and evaluation frameworks