AI Agent Engineer

Systems Limited; Lahore; On-site; PKR 350,000 - 520,000; Full time

Job summary

Systems Limited is seeking an AI Agent Developer to design and build enterprise AI-powered solutions for global trade compliance and supply chain platforms.

The role focuses on building LLM and AI Agent applications, RAG solutions, workflow automation, and integrations with Oracle GTM, ERP, PLM, CRM, and other enterprise systems.

Qualifications

• 3+ years building AI Agents or LLM applications.
• Strong Python programming and API integration skills.
• Experience with prompt engineering, RAG, and LL M-based apps.
• Familiarity with enterprise AI frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen).

Responsibilities

• Design and develop enterprise AI Agent platforms and workflows.
• Build AI-powered applications using LLMs and agent frameworks.
• Integrate with ERP, PLM, CRM and other systems.
• Design and optimize RAG-based knowledge management.
• Implement multi-agent collaboration and workflow automation.
• Work on prompt engineering, memory, and tool calling.
• Translate business requirements into AI solutions.
• Collaborate with global stakeholders.

Skills

AI Agents

LLM applications

Generative AI solutions

Python

API integrations

Tools

LangChain

LangGraph

Semantic Kernel

CrewAI

AutoGen

Vector databases

Job description

We are looking for an AI Agent Developer to design and develop enterprise AI-powered solutions for global trade compliance and supply chain platforms. The role involves building LLM and AI Agent applications, RAG solutions, workflow automation, and integrations with enterprise systems such as Oracle GTM, ERP, PLM, and other business platforms.

Responsibilities:

• Design and develop enterprise AI Agent platforms and AI-powered workflows.
• Build intelligent applications using LLMs and Agent Frameworks.
• Develop AI integrations with Oracle GTM, ERP, PLM, CRM, and other enterprise systems.
• Design and optimize RAG-based knowledge management solutions.
• Implement multi-agent collaboration, workflow automation, and task orchestration.
• Work on Prompt Engineering, Agent Memory, and Tool Calling capabilities.
• Translate business and trade compliance requirements into AI-driven solutions.
• Improve AI Agent accuracy, performance, security, and user experience.
• Collaborate with business analysts, technical teams, and global stakeholders.

Qualifications:

• 3 years+ hands-on experience developing AI Agents, LLM applications, or Generative AI solutions.
• Strong programming skills in Python and experience with API integrations.
• Strong understanding of Prompt Engineering, RAG, and LLM-based applications.
• Experience with AI Agent frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen is preferred.
• Experience with vector databases and enterprise knowledge bases.
• Experience integrating enterprise systems such as ERP, PLM, CRM, or supply chain platforms is preferred.
• Strong understanding of workflow automation, tool calling, and agent orchestration.
• Strong English communication and collaboration skills.
• Proven hands-on AI Agent project experience is highly preferred.