Qualys
Lead Applied AI / GenAI Engineer
Foster City, USA · Senior
Sponsorship not specified$165k-$185kDetected 116 days ago
PythonBackend DevelopmentSQLVector DatabasesAPI DevelopmentMachine LearningData EngineeringLLMsRAGAI Orchestration
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odds of building a lasting career here
57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role75
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 19 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 100%
Of 15 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 497 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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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.