AI Workflow / AI Operations Engineer

Next eBiz; Islamabad; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Next eBiz is hiring an AI Engineer to design agentic AI systems that automate workflows, enhance productivity, and scale global operations. You will architect autonomous agents across e-commerce, operations, recruitment, logistics, and customer experience, and collaborate with teams worldwide to identify automation opportunities.

The role focuses on building real-time decision-making agents, integrating AI into internal and customer-facing processes, and advancing AI governance and scalability

Qualifications

• Hands-on experience with agentic AI frameworks.
• Experience building multi-step workflows using agent frameworks and workflow tools.
• Proficiency in Python (required); JavaScript/TypeScript is a plus.
• Experience integrating AI into e-commerce, customer service, logistics, or internal operations.
• Practical experience with LLM APIs (OpenAI, Claude, Gemini, Mistral, etc.).
• Experience designing and implementing RAG (Retrieval-Augmented Generation) systems.
• Familiarity with vector databases such as Pinecone, Weaviate, or FAISS.
• Ability to deploy, monitor, and optimize autonomous agents in production environments.

Responsibilities

• Design and implement agentic AI workflows for real-time task execution and decision-making.
• Build and orchestrate multi-step automation pipelines using agent frameworks and workflow tools.
• Develop multi-agent architectures to support e-commerce growth, sales, recruitment, and logistics.
• Integrate AI solutions into internal operations and customer-facing systems.
• Build custom GPTs, AI copilots, and autonomous agents aligned with business objectives.
• Collaborate with global teams to identify automation opportunities and optimize workflows.
• Support non-technical teams with AI onboarding, prompt strategy, and best practices.
• Contribute to the AI roadmap with a focus on scalability, reliability, and responsible AI adoption.

Skills

agentic AI frameworks

LangChain

Python

JavaScript/TypeScript

LLM APIs

RAG

Vector databases

Autonomous agents

production deployment

monitoring

Tools

Airflow

Zapier

Make

Job description

Location:Islamabad, Pakistan

Reimagine Work Through Agentic AI

We are a rapidly growing multinational group with operations across the UK, USA, Malaysia, and the UAE. As we expand our AI capabilities, we are seeking a forward-thinkingAI Engineerto design and deliver agentic AI systems that automate workflows, enhance productivity, and scale global business operations.

This role sits at the intersection of AI engineering, workflow automation, and business impact. You will architect intelligent, multi-agent systems that operate autonomously across e-commerce, operations, recruitment, logistics, and customer experience.

Key Responsibilities

• Design and implement agentic AI workflows for real-time task execution and decision-making
• Build and orchestrate multi-step automation pipelines using agent frameworks and workflow tools
• Develop multi-agent architectures to support e-commerce growth, sales, recruitment, and logistics
• Integrate AI solutions into internal operations and customer-facing systems
• Build custom GPTs, AI copilots, and autonomous agents aligned with business objectives
• Collaborate with global teams to identify automation opportunities and optimize workflows
• Support non-technical teams with AI onboarding, prompt strategy, and best practices
• Contribute to the AI roadmap with a focus on scalability, reliability, and responsible AI adoption

Required Qualifications

• Hands-on experience withagentic AI frameworks(e.g., AutoGPT, BabyAGI, OpenAgents, CrewAI)
• Strong experience building multi-step workflows usingLangChain, automation platforms, or custom scripts
• Proficiency inPython(required); JavaScript or TypeScript is a plus
• Experience integrating AI intoe-commerce, customer service, logistics, or internal operations
• Practical experience withLLM APIs(OpenAI, Claude, Gemini, Mistral, etc.)
• Experience designing and implementingRAG (Retrieval-Augmented Generation)systems
• Familiarity withvector databasessuch as Pinecone, Weaviate, or FAISS
• Ability to deploy, monitor, and optimize autonomous agents in production environments

Nice to Have

• Experience with agent memory, prompt optimization, or RLHF concepts
• Exposure to orchestration tools such as Airflow, Zapier, or Make
• Understanding of AI governance, ethics, and performance monitoring

What We Offer

• Opportunity to work on real-world, production-grade AI systems
• Collaboration with international teams across multiple regions
• High-impact role influencing automation and AI strategy at scale
• Competitive compensation based on experience
• Long-term growth within a fast-scaling global organization