AI Deployment Engineer: GenAI, RAG & Enterprise Automation

Zohorecruit; Haveli Lakha; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Zohorecruit is seeking an experienced AI engineer to partner with business leaders, product owners, and operations to identify high-value AI use cases and translate requirements into scalable AI and automation solutions. You will design, build, and deploy Generative AI and agent-based solutions across enterprise platforms.

You will run workshops, define MVP scope with KPIs, and own end-to-end production including deployment, monitoring, and continuous improvement.

Qualifications

• Proficient in Python and software engineering practices.
• Hands-on with Generative AI, LLMs, and AI agents.
• Experience building RAG pipelines with vector stores and enterprise data sources.
• Strong knowledge of Azure AI services, Azure OpenAI, and cloud-native development.
• Experience with REST APIs, microservices, containers, and CI/CD pipelines.
• Familiarity with model deployment, monitoring, and MLOps practices.

Responsibilities

• Partner with business leaders and teams to identify high-value AI use cases.
• Conduct workshops to understand workflows, pain points, and objectives.
• Translate requirements into scalable AI and automation solutions.
• Define MVP scope, KPIs, and roadmaps for implementation.
• Design, build, and deploy Generative AI and agent solutions.
• Develop RAG applications leveraging enterprise knowledge sources.
• Build intelligent agents for underwriting, claims, and service workflows.
• Integrate AI services with enterprise platforms and data repositories.

Skills

Python

Generative AI

LLMs

RAG pipelines

Azure AI

APIs & Microservices

CI/CD

MLOps

Containers

Tools

LangChain

LangGraph

SemanticKernel

AutoGen

CrewAI

PromptEngineering

Job description

Zohorecruit is seeking an experienced AI engineer to partner with business leaders, product owners, and operations to identify high-value AI use cases and translate requirements into scalable AI and automation solutions. You will design, build, and deploy Generative AI and agent-based solutions across enterprise platforms.

You will run workshops, define MVP scope with KPIs, and own end-to-end production including deployment, monitoring, and continuous improvement.