Qualys

Cloud-based vulnerability management and compliance platform

Lead AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

7–12+ years of experience in software engineering, artificial intelligence/machine learning, or generative artificial intelligence application development.
Proven experience building and deploying production-grade artificial intelligence and generative artificial intelligence solutions.
Strong expertise in Python, backend development, application programming interfaces, system integration, and workflow orchestration.
Hands-on experience with retrieval-augmented generation, large language models, prompt engineering, tool and agent calling, artificial intelligence evaluation, and observability.
Experience integrating enterprise applications, data platforms, and services using application programming interfaces and event-driven architectures.
Strong analytical, systems-thinking, and problem-solving skills, with the ability to translate ambiguous business problems into scalable artificial intelligence solutions.
A BE, B.Tech, or MCA degree is required.

Responsibilities

Design, develop, and deploy artificial intelligence and generative artificial intelligence applications, retrieval-augmented generation pipelines, and intelligent workflow automation.
Build backend services, application programming interfaces, integrations, and orchestration frameworks using large language models, model application programming interfaces, and enterprise data.
Develop artificial intelligence-powered knowledge assistants, workflow automation, and decision-support solutions.
Use artificial intelligence-assisted development while ensuring code quality, security, reliability, observability, and governance.
Define evaluation frameworks to measure artificial intelligence quality, accuracy, latency, and system performance.
Collaborate with business, information technology, security, data, human resources, and finance teams to identify and deliver high-value artificial intelligence use cases.
Prototype rapidly and scale solutions into secure, production-ready deployments.
Optimize artificial intelligence solutions for performance, scalability, reliability, and cost.
Develop reusable artificial intelligence components, frameworks, and best practices to accelerate enterprise adoption.

Desired Qualifications

Experience with vector databases, embeddings, semantic search, and advanced retrieval-augmented generation architectures.
Knowledge of SQL, data engineering, and data pipelines.
Experience integrating artificial intelligence into enterprise applications and business workflows.
Exposure to intelligent agents, automation platforms, and artificial intelligence governance frameworks.
Experience building reusable artificial intelligence frameworks, accelerators, or enterprise artificial intelligence platforms.
Computer Science, Information Technology, or a related field is preferred.

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Job Description

Design, build, and scale enterprise-grade AI/GenAI solutions that automate business processes, enhance decision-making, and deliver measurable business outcomes. The role focuses on developing AI-powered applications, intelligent workflows, and integrations by combining enterprise systems, data, APIs, and modern AI technologies in a secure, scalable, and production-ready environment.

Responsibilities

Design, develop, and deploy AI/GenAI applications, RAG pipelines, and intelligent workflow automation
Build backend services, APIs, integrations, and orchestration frameworks using LLMs, model APIs, and enterprise data.
Develop AI-powered knowledge assistants, workflow automation, and decision support solutions.
Leverage AI-assisted development while ensuring code quality, security, reliability, observability, and governance.
Define evaluation frameworks to measure AI quality, accuracy, latency, and system performance.
Collaborate with business, IT, Security, Data, HR, and Finance teams to identify and deliver high-value AI use cases.
Prototype rapidly and scale solutions into secure, production-ready deployments.
Optimize AI solutions for performance, scalability, reliability, and cost.
Develop reusable AI components, frameworks, and best practices to accelerate enterprise adoption.

Required Qualifications

7–12+ years of experience in Software Engineering, AI/ML, or GenAI application development.
Proven experience building and deploying production-grade AI/GenAI solutions.
Strong expertise in Python, backend development, APIs, system integration, and workflow orchestration.
Hands-on experience with RAG, LLMs, prompt engineering, tool/agent calling, AI evaluation, and observability.
Experience integrating enterprise applications, data platforms, and services using APIs and event-driven architectures.
Strong analytical, systems thinking, and problem-solving skills with the ability to translate ambiguous business problems into scalable AI solutions.

Preferred Qualifications

Experience with vector databases, embeddings, semantic search, and advanced RAG architectures.
Knowledge of SQL, data engineering, and data pipelines.
Experience integrating AI into enterprise applications and business workflows.
Exposure to intelligent agents, automation platforms, and AI governance frameworks.
Experience building reusable AI frameworks, accelerators, or enterprise AI platforms.

Educational Qualification: BE/B.Tech/MCA, preferably in Computer Science, Information Technology, or a related field

About the Company

Qualys

Cloud-based vulnerability management and compliance platform

Qualys provides cloud-based cybersecurity and compliance solutions that help organizations secure their IT infrastructure. It offers vulnerability management, policy compliance, web application security, and IT asset management through the Qualys Cloud Platform, enabling continuous monitoring, automated checks, policy enforcement, and real-time compliance reporting. It differentiates itself with real-time analytics, automated workflows, and a scalable cloud architecture that unify multiple security and compliance functions in one ecosystem across on-premises, cloud, and hybrid environments. Its goal is to help organizations continuously assess risk, automate security processes, and demonstrate compliance across their entire IT footprint.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Redwood City, CA
Founded: 1999

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