AI Workflow / AI Operations Engineer

NEXTeBIZ

Islamabad

On-site

PKR 1,500,000 - 2,500,000

Full time

14 days+

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Benefits offered by this job

Opportunity to work on real-world AI systems
Collaboration with international teams
Competitive compensation
Long-term growth opportunities

Job summary

NEXTeBIZ, located in Islamabad, is seeking an innovative AI Engineer responsible for designing and delivering agentic AI systems. This role involves architecting intelligent multi-agent systems that enhance automation and productivity for global business operations across various sectors like e-commerce and logistics. Ideal candidates will have experience with agentic AI frameworks and strong Python skills. Competitive compensation and opportunities for long-term growth within a rapidly expanding multinational organization are offered.

Qualifications

  • Hands-on experience with agentic AI frameworks.
  • Strong experience building multi-step workflows.
  • Proficiency in Python required; JavaScript or TypeScript is a plus.

Responsibilities

  • Design and implement agentic AI workflows.
  • Build and orchestrate multi-step automation pipelines.
  • Develop multi-agent architectures to support e-commerce growth.

Skills

Experience with agentic AI frameworks
Strong experience building multi-step workflows
Proficiency in Python
Experience integrating AI into operations
Practical experience with LLM APIs
Experience designing RAG systems
Familiarity with vector databases
Ability to optimize autonomous agents

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-thinking AI Engineer to 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 databases such 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
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