Lead AI Engineer

Qualys, Inc.

Pune District

In loco

INR 3.000.000 - 6.000.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Qualys, Inc. in Pune, India seeks a Lead AI Engineer to design, build, and scale enterprise-grade AI/GenAI solutions that automate processes and improve decision-making across the business.

You will develop backend services, APIs, RAG pipelines, and intelligent workflows, collaborating with IT, Security, Data, HR, and Finance teams to deliver production-ready deployments with strong governance, security, and observability.

Competenze

  • 7–12+ years of experience in Software Engineering, AI/ML or GenAI development.
  • Proven production-grade AI/GenAI deployment experience.
  • Strong Python backend, APIs, system integration and orchestration skills.

Mansioni

  • Design, build, and deploy enterprise AI/GenAI solutions and RAG pipelines.
  • Develop backend services, APIs, integrations, and orchestration frameworks.
  • Collaborate with business, IT, Security, Data, HR, and Finance teams to identify AI use cases.
  • Prototype rapidly and scale solutions with governance, security, and observability.
  • Optimize AI solutions for performance, scalability, and cost.

Conoscenze

Python
Backend development
APIs
System integration
Workflow orchestration
RAG
LLMs
Prompt engineering
Observability
AI/GenAI

Strumenti

Vector databases
Embeddings
Semantic search
SQL
Kubernetes

Descrizione del lavoro

## Lead AI EngineerApplylocations: Punetime type: Full timeposted on: Posted Todayjob requisition id: R0004957Come 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.
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