Qualcomm India Private Limited
Engineering Group, Engineering Group > Software Applications Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Application Engineer, you will provide technical expertise of software systems through technical presentations in support of business development, product demonstrations, design and development of customer specific requirements, commercialization, and maintenance of Qualcomm products. Qualcomm Engineers collaborate with cross-functional teams and customers to address questions, issues, debugging, or troubleshooting regarding software systems and applications.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
- 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
- 1+ year of experience with debugging techniques.
Role Overview
We are seeking a highly experienced AI Staff Engineer to join the Tools Team, leading the design, development, and deployment of enterprise-grade AI solutions for documentation websites and developer platforms.
In this role, the individual will architect and build agentic systems, implement advanced retrieval-augmented generation (RAG) pipelines, develop modern web applications, and drive AI-powered content optimization strategies (SEO, AEO, GEO) across the documentation ecosystem.
This role serves as a technical leader, mentoring teams and shaping AI and web strategy.
Key Responsibilities
Architect and implement production-grade agentic solutions and agentic workflows that solve complex business problems end-to-end for authoring and documentation presentation sites.
Develop and maintain AI Skills, MCP (Model Context Protocol) servers, and AI Agents that extend LLM capabilities.
Implement and own SEO, AEO (Answer Engine Optimization), and GEO (Generative Engine Optimization) strategies to maximize documentation discoverability across traditional search engines and AI-powered answer engines.
Collaborate with multiple teams to build and enhance documentation platforms, developer portals, and content delivery systems.
Design and build RAG (Retrieval-Augmented Generation) pipelines integrating vector databases, embedding models, and large language models.
Build and deploy scalable AI services on AWS (or equivalent cloud platforms) using serverless, containerized, and managed AI/ML services.
Evaluate emerging AI tools, frameworks, and models; recommend adoption where appropriate.
Develop backend services and APIs using C#, ASP.NET Web APIs, and Python.
Design, develop, and maintain modern web applications and documentation websites using Angular or React with responsive, accessible, and performant UI.
Implement client-side scripting solutions using TypeScript/JavaScript for interactive documentation features, search experiences, and AI-powered widgets.
Lead technical design reviews, establish coding standards, and mentor junior and mid-level engineers.
Drive documentation site architecture decisions and author content in RST, Markdown, and DITA formats.
Must-Have Qualifications
10+ years of professional software engineering experience.
Hands-on experience building AI Agents, Skills, and MCP (Model Context Protocol) integrations.
Proven experience designing and deploying agentic solutions and agentic workflows (multi-step reasoning, tool use, orchestration frameworks).
Strong working knowledge of RAG architectures — chunking strategies, embedding models, vector stores, and retrieval pipelines.
Strong expertise in client-side scripting and web application development using Angular or React (component architecture, state management, routing, build tooling).
Proficiency in HTML5, CSS3, TypeScript/JavaScript, and modern front-end development practices (responsive design, accessibility, performance optimization).
Strong knowledge of SEO — technical SEO, structured data (Schema.org), meta optimization, site performance, crawlability, and content strategy for search rankings.
Working knowledge of AEO (Answer Engine Optimization) — optimizing content for AI-powered answer engines, featured snippets, and conversational search interfaces.
Working knowledge of GEO (Generative Engine Optimization) — structuring content and data to be surfaced accurately by generative AI models and AI-powered search platforms.
Proficiency in C# and ASP.NET (Web API, MVC, .NET Core/.NET 8+).
Proficiency in Python (FastAPI, LangChain, LlamaIndex, or equivalent AI/ML frameworks).
Experience with AWS (or Azure/GCP) — services such as Lambda, ECS, Bedrock, SageMaker, S3, DynamoDB, CloudFormation/CDK.
Experience with CI/CD pipelines, Infrastructure as Code, and DevOps practices.
Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.
Nice-to-Have Qualifications
Experience with documentation site frameworks — reStructuredText (RST), Markdown (MD), and DITA.
Familiarity with docs-as-code workflows and static site generators.
Experience with prompt engineering, fine-tuning, and evaluation frameworks (RAGAS, DeepEval).
Applicants : 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 [email protected] 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).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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If you would like more information about this role, please contact Qualcomm Careers .
