Come 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
- 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
- Rapidly prototype solutions and scale them to production-grade deployments with appropriate guardrails, monitoring, and governance
- 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
What We’re Looking For
Required Qualifications
- 7–12+ years of experience in software engineering, applied AI, or ML engineering
- Hands-on experience building and deploying AI/ML or GenAI applications in production, retrieval-augmented generation, workflow orchestration, API development, system integration, agent or tool calling, prompt design, evaluation frameworks, or AI observability
- Strong programming skills (Python + backend 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.
Preferred Qualifications (Value-Adding Prior Experience)
- Experience with RAG architectures, prompt engineering, and LLM evaluation
- Familiarity with data engineering concepts (SQL, pipelines)
- Exposure to vector databases, embeddings, semantic search
- Experience integrating AI into enterprise workflows/applications
- Background in automation, intelligent agents, or workflow orchestration
Why Join Us
- Build high-impact AI solutions at enterprise scale
- Foundational role in shaping AI adoption strategy
- Work on cutting-edge AI with real business outcomes
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The salary range for this position is $165,000 - $185,000 per year. Final compensation will be determined based on several factors, including but not limited to skills, relevant experience, and work location. 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.
Qualys is an Equal Opportunity Employer, please see our EEO policy.
Skills Required
- 7-12+ years of experience in software engineering, applied AI, or ML engineering
- Hands-on experience building and deploying AI/ML or GenAI applications in production
- Strong programming skills (Python + backend engineering)
- Experience integrating applications through APIs or workflow tools
- Strong systems thinking across data and infrastructure layers
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
