Senior Software Engineer — Agentic AI & Full-Stack Applications

Qualcomm•San Diego, CA

3d•$117,800 - $176,600

About The Position

We are seeking a highly skilled Senior Software Engineer to join our Program Management Tools team. This role sits at the intersection of agentic AI workflow development and full-stack web applications. You will design and build AI agents that automate the program and product management lifecycle — idea intake, requirements management, planning, execution status reporting, and cross-team coordination — running in parallel with the agentic SW engineering AI SDLC workflow. You will also build full-stack web applications with AI capabilities for our program managers, product managers, engineering leaders, and executives. The work pairs deep technical skills with genuine functional fluency. You will: Work with a team of talented SW engineers delivering innovative solutions. Design and implement agentic systems, advanced orchestration logic, and the reasoning workflows behind them. Develop and maintain high-performance, scalable, and reliable SW 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.

Requirements

Hands-on experience with agentic AI and LLM application development — tools 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 (Angular or React).
Experience building full-stack applications (UI + backend services + APIs)
Proven ability to build clean, intuitive, and performant UI
Hands-on experience developing or integrating AI-powered applications
Familiarity with agentic workflows or orchestration frameworks
Strong understanding of API design, state management, and UI/backend integration
Hands-on experience with agentic runtimes and workflow frameworks such as LangGraph, AutoGen, or n8n.
Experience building and consuming API 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, working directly with business stakeholders.
Excellent problem-solving and communication skills.
Work independently within a fast-paced and collaborative team environment and multi-task efficiently.
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.

Nice To Haves

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 GenAI-assisted features within enterprise applications.
Experience with agentic software development lifecycle tooling — coding agents, automated code review, test generation, or CI/CD automation driven by LLMs.
Exposure to AI platform engineering and Model Context Protocol (MCP) servers.
Experience with natural-language-to-SQL or querying over governed datasets
Deep integration experience with Jira, Confluence, or Microsoft 365 APIs (Microsoft Graph).
Knowledge of workflow orchestration, 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.

Responsibilities

Design, build, and deliver AI agents that automate workflows
Architect a multi-agent platform that runs in parallel with the agentic software development lifecycle, so PM agents and engineering SDLC agents can exchange plans, context, and signals over the same program data.
Develop full-stack web applications with generative AI functionality built in — conversational interfaces, natural-language querying over program data, automated summarization, and in-context recommendations.
Build backend services and APIs in C#, .NET, Python and TypeScript, and modern Angular/React front end, integrating with Jira, Microsoft 365, Confluence, and SQL/NoSQL data stores.
Enable AI insights/alerts over governed program data and validate answer accuracy and business relevance with stakeholders.
Define and apply agentic engineering standards: tool and MCP server contracts, plug-ins, prompt and context management, memory, guardrails, human-in-the-loop approval, and evaluation and observability harnesses for agent quality.