Lead Data & AI Engineer

Qualys; Maharashtra; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Qualys seeks a senior AI/GenAI software engineer to design, build, and scale enterprise-grade AI solutions that automate processes and improve decision-making. You will fuse data, APIs, and modern AI tech in a secure, production-ready environment.

You will lead RAG pipelines, backend services, and workflow orchestration, collaborating with IT, Security, Data, HR and Finance to deliver high-value use cases. Strong Python, API, and observability expertise are essential.

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.

Responsibilities

• Design, develop, and deploy AI/GenAI applications, RAG pipelines, and intelligent workflow automation.
• Build backend services, APIs, integrations, and orchestration frameworks using LLMs and enterprise data.
• Develop AI-powered knowledge assistants and decision support solutions.
• Ensure code quality, security, reliability, observability, and governance in AI projects.
• Define evaluation frameworks to measure AI quality, latency, and performance.
• Collaborate with business, IT, Security, Data, HR, and Finance to identify high‑value AI use cases.
• Prototype rapidly and scale solutions into production‑ready deployments.
• Optimize AI solutions for performance, scalability, and cost.
• Develop reusable AI components, frameworks, and accelerators for enterprise adoption.

Skills

Python

Backend development

APIs

System integration

Workflow orchestration

LLMs & GenAI

Model APIs

Prompt engineering

Observability

Security & governance

Data platforms

Event-driven architectures

RAG pipelines

Tools

LLM APIs

Vector databases

Semantic search

Observability tools

Data pipelines

Job description

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.