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.

- Solid 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.

📌 Lead AI Engineer (India)
🏢 Qualys
📍 India