AI Platform Engineer: Retrieval, RAG & Agentic Workflows

Qualcomm

San Diego (CA)

On-site

USD 94,200 - 141,200

Full time

14 days+

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Benefits offered by this job

Competitive annual discretionary bonus
Opportunity for annual RSU grants
Comprehensive benefits package

Job summary

Qualcomm is seeking a hands-on software engineer for our enterprise AI platform focused on knowledge retrieval engineering and agentic applications. This role requires full-time onsite work in San Diego, CA, emphasizing rapid feature delivery and integration of AI capabilities.

The ideal candidate will possess strong skills in Python and Rust, and experience with search systems, ML fundamentals, and agentic frameworks. Candidates must be prepared to collaborate on enterprise-grade AI solutions and enhance data retrieval systems.

Qualifications

  • Strong Python and Rust skills for data processing and application development.
  • Experience with Search systems (Lexical, Semantic).
  • Understanding of ML fundamentals and NLP/embeddings.

Responsibilities

  • Work on enterprise‑scale AI powered search and retrieval systems.
  • Design and improve end‑to‑end pipelines for data processing.
  • Develop and integrate APIs/services/MCP/agent‑tools.

Skills

Python
Rust
Search systems knowledge
ML fundamentals
NLP/embeddings
API/service development (REST)
Agentic frameworks (LangChain, Agno)

Education

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field

Tools

Elasticsearch
Docker
Kubernetes

Job description

Qualcomm is seeking a hands-on software engineer for our enterprise AI platform focused on knowledge retrieval engineering and agentic applications. This role requires full-time onsite work in San Diego, CA, emphasizing rapid feature delivery and integration of AI capabilities.

The ideal candidate will possess strong skills in Python and Rust, and experience with search systems, ML fundamentals, and agentic frameworks. Candidates must be prepared to collaborate on enterprise-grade AI solutions and enhance data retrieval systems.

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