Qualys
Lead Applied AI / GenAI Engineer
Foster City, USA
Sponsorship not specified$165k-$185kDetected 21 days ago
PythonBackend DevelopmentSQLVector DatabasesAPI DevelopmentMachine LearningData EngineeringLLMsRAGAI Orchestration
About the role
- 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.
Responsibilities
- 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
- Develop and implement evaluation frameworks to measure output quality, retrieval accuracy, latency, and failure modes, and continuously improve system performance
- Lead structured problem formulation with cross-functional stakeholders (IT, Security, Data, HR, Finance, and business teams) to ensure AI is applied to high-impact, real-world problems
- Optimize AI systems for performance, cost, scalability, and reliability in enterprise environments
- Collaborate with platform and data teams to effectively leverage enterprise data assets
- Build and contribute reusable components, frameworks, and playbooks to accelerate development and reduce duplication across the engineering ecosystem
- Hands-on experience building and deploying AI/ML or GenAI applications in production, r etrieval-augmented generation, workflow orchestration, API development, system integration, agent or tool calling, prompt design, evaluation frameworks, or AI observability
- Build high-impact AI solutions at enterprise scale
Requirements
- 7-12+ years of experience in software engineering, applied AI, or ML engineering
- Experience integrating applications, data sources, or internal platforms through APIs, services, event-driven patterns, or workflow tools.
- Strong systems thinking and the ability to work across data, model, application, and infrastructure layers.
- Ability to operate with incomplete information, break down ambiguous problems, and move from concept to implementation with appropriate judgment.
- Experience with RAG architectures, prompt engineering, and LLM evaluation
- Familiarity with data engineering concepts (SQL, pipelines)
- Experience integrating AI into enterprise workflows/applications
Nice to have
- (Value-Adding Prior Experience)
Compensation
- The salary range for this position is $165,000 - $185,000 per year.
Benefits
- Please note this range reflects base salary and does not include incentive compensation or potential equity grants.
- We also offer a comprehensive and highly competitive benefits package.
Company info
- What We're Looking For
Equal opportunity
- Equal Opportunity Employer, please see our EEO policy.
This listing is sourced directly from Qualys's careers page and normalized into a canonical job model.