AI Platforms and Solutions Engineer

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$94,200–$141,200 / yr
Posted
2 days ago
Closes
Dec 23, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $118k
$76k most similar roles pay here $263k

This role pays less than 98% of similar roles. Most pay $162,000–$245,325 — the shaded band above. At the midpoint, this role pays about $118k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 828 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 508 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · AI Platforms and Solutions Engineer

Role Posting Log in to save

Join Qualcomm’s enterprise AI platform team as a hands-on software engineer focusing on knowledge retrieval engineering and agentic pipeline development. This role involves rapid feature delivery, continuous pipeline iteration, and integration of agentic capabilities into existing solutions to support downstream applications. You will work on large-scale AI-powered search systems, design end-to-end pipelines for ingestion, embedding, indexing, and retrieval, develop APIs and services, and enhance retrieval relevance and chunking strategies. Essential skills include proficiency in Python and Rust, experience with search systems, ML fundamentals, RAG systems, and agentic frameworks like LangChain and Agno. Ideal candidates also have exposure to Elasticsearch, Docker, Kubernetes, and tracing tools for LLM systems.

Skills

Python Rust Search systems ML fundamentals NLP Embeddings RAG systems LLM-based applications API development REST Agentic frameworks LangChain Elasticsearch Docker Kubernetes

What you'll do

  • Design and enhance end-to-end AI retrieval pipelines for enterprise applications.
  • Develop APIs and services to integrate ML/AI capabilities into existing systems.
  • Improve search relevance and embedding quality in agentic solutions.
  • Evaluate and debug issues related to search quality and hallucinations.
  • Work on ingestion, indexing, and retrieval processes for knowledge management.

What we're looking for

  • Strong Python and Rust skills for data processing and application development.
  • Experience with search systems (lexical, semantic) and RAG systems.
  • Understanding of ML fundamentals and NLP embeddings.
  • Hands-on experience building AI applications, including agentic workflows.
  • Solid understanding of agentic frameworks like LangChain and Agno.
  • Development experience with APIs/services using REST architecture.
  • Evaluate and debug search quality issues in enterprise-scale AI systems.

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