Qualcomm is seeking a hands-on software engineer for its enterprise AI platform, focusing on knowledge retrieval engineering and agentic pipeline development. This fast-paced role involves rapid feature delivery, continuous iteration on pipelines, and the integration of agentic capabilities into existing solutions. The position requires full-time onsite work in San Diego, CA, and is not eligible for immigration sponsorship. The ideal candidate will work on enterprise-scale AI powered search systems and collaborate with various teams to deliver production-grade features.

• Strong Python and Rust skills for data processing and application development
• Experience with search systems, including lexical and semantic search
• Understanding of machine learning fundamentals and NLP/embeddings
• Hands-on experience with RAG systems and LLM-based applications
• Experience building AI applications, including agentic AI workflows
• Experience with API/service development, particularly REST
• Solid understanding of agentic frameworks such as LangChain and Agno
• Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field

• Work on enterprise-scale AI powered search and retrieval systems supporting various downstream applications and agents
• Design and improve end-to-end pipelines from ingestion to retrieval with objective evaluation and test harnesses
• Develop and integrate APIs, services, and agent-tools to expose ML and AI capabilities
• Improve retrieval relevance, chunking strategies, and embedding quality
• Evaluate and debug search quality issues, including hallucinations and grounding failures
• Collaborate with platform and infrastructure teams to deliver production-grade enterprise features

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.