Q

Qualcomm

Designs mobile chips and licenses wireless patents

Senior Software Engineer - Agentic AI & Full-Stack Applications, Software Engineering

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • Hands-on experience with agentic AI and large language model application development, including tool calling, planning and orchestration, retrieval-augmented generation, prompt and context engineering, and agent evaluation.
  • Strong programming skills in Python and TypeScript, with demonstrated full-stack, enterprise-grade web application development using Angular or React.
  • Experience building full-stack applications, including user interfaces, backend services, and application programming interfaces.
  • Proven ability to build clean, intuitive, and performant user interfaces.
  • Hands-on experience developing or integrating AI-powered applications.
  • Familiarity with agentic workflows or orchestration frameworks.
  • Strong understanding of application programming interface design, state management, and user interface/backend integration.
  • Hands-on experience with agentic runtimes and workflow frameworks such as LangGraph, AutoGen, or n8n.
  • Experience building and consuming application programming interface services and integrating with enterprise data platforms and SQL/NoSQL databases.
  • Proficiency with cloud development and deployment on AWS or Azure.
  • Solid understanding of microservices architecture, enterprise authentication, role-based access control, and security best practices.
  • Demonstrated ability to translate business and functional requirements into technical solutions while working directly with business stakeholders.
  • Excellent problem-solving and communication skills.
  • Ability to work independently in a fast-paced, collaborative team environment and multitask efficiently.
  • A 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.

Responsibilities

  • Work with a team of software engineers to deliver solutions.
  • Design and implement agentic systems, advanced orchestration logic, and reasoning workflows.
  • Develop and maintain high-performance, scalable, and reliable software and web applications.
  • Collaborate with cross-functional teams to identify and solve complex software problems.
  • Work directly with program managers and engineering leaders to turn workflow ideas into working agents and applications.
  • Design, build, and deliver AI agents that automate workflows.
  • Architect a multi-agent platform that operates alongside the agentic software development lifecycle, enabling program management agents and engineering lifecycle agents to exchange plans, context, and signals using shared program data.
  • Develop full-stack web applications with generative AI capabilities, including conversational interfaces, natural-language querying over program data, automated summarization, and in-context recommendations.
  • Build backend services and application programming interfaces using C#, .NET, Python, and TypeScript, and build modern Angular or React front ends; integrate with Jira, Microsoft 365, Confluence, and SQL/NoSQL data stores.
  • Enable AI insights and alerts over governed program data, and validate answer accuracy and business relevance with stakeholders.
  • Define and apply agentic engineering standards covering tool and Model Context Protocol server contracts, plug-ins, prompt and context management, memory, guardrails, human-in-the-loop approval, and evaluation and observability frameworks for agent quality.

Desired Qualifications

  • Strong programming skills in C#, .NET, Python, JavaScript, TypeScript, React.js, Angular, Node.js, HTML, and CSS.
  • Exposure to building or integrating AI-driven or generative-AI-assisted features within enterprise applications.
  • Experience with agentic software development lifecycle tooling, including coding agents, automated code review, test generation, or large-language-model-driven continuous integration and delivery automation.
  • Exposure to AI platform engineering and Model Context Protocol servers.
  • Experience with natural-language-to-SQL or querying over governed datasets.
  • Deep integration experience with Jira, Confluence, or Microsoft 365 APIs, including Microsoft Graph.
  • Knowledge of workflow orchestration and event-driven architecture.
  • Ability to take high-level direction and independently drive end-to-end implementation.
  • Prior experience in a matrixed, global organization with distributed teams.

About the Company

Qualcomm

Designs mobile chips and licenses wireless patents

Qualcomm designs the Snapdragon processors and modems inside many Android phones, and it licenses its wireless patents to device makers around the world. It helped commercialize CDMA, the cellular technology behind 3G networks, and its patents cover core parts of the 4G and 5G standards that phones use to connect. The company does not run its own chip factories; contract foundries make its chips, which it sells to makers of phones, PCs, cars, and connected devices. Device makers also pay Qualcomm royalties for using its patented technology, which forms a second business alongside chip sales. Qualcomm was founded in 1985 and is based in San Diego, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1985

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