Lead Applied AI / GenAI Engineer
Qualys · Foster City, CA
About this role
Qualys is hiring a senior-level AI Engineer in the machine learning function based in Foster City, CA. The posting calls out experience with Python, SQL, LLMs, RAG. Compensation is listed at $165,000–$185,000 per year.
- Role
- AI Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Foster City, CA
- Posted
- Apr 20, 2026
More roles at Qualys
Job description
from Qualys careersCome work at a place where innovation and teamwork come together to support the most exciting missions in the world!
About the Role
We’re looking for an experienced engineer to design and deliver AI-powered applications, intelligent workflows, and automation solutions that drive measurable business impact. In this role, you’ll operate at the intersection of enterprise application engineering, automation, data integration, and AI systems deployment. You’ll apply strong systems thinking to connect model APIs, data sources, and workflow layers—unlocking improvements in speed, quality, and outcomes.
Focused on applied AI and GenAI, you will bridge emerging capabilities with real-world enterprise use cases, building and scaling production-grade AI solutions in a highly collaborative environment.
What You’ll Do
- Build and deploy AI-enabled RAG pipelines and intelligent workflows that connect enterprise systems, data sources, model APIs, and automation layers using modern ML and LLMs
- Design and evolve backend services, APIs, and integrations, including retrieval, prompting, tool-calling, and orchestration patterns for use cases such as knowledge assistants, workflow automation, and decision support
- Leverage AI-assisted development to accelerate delivery, applying a strong “editor” mindset to rigorously review, secure, and standardize AI-generated code for reliability, security, observability, and documentation
- Develop and implement evaluation frameworks to measure output quality, retrieval accuracy, latency, and failure modes, and continuously improve system performance