Senior AI Engineer — Autonomous Agent Systems

vFairs

Lahore

On-site

PKR 1,800,000 - 3,200,000

Full time

2 days ago
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Job summary

vFairs is seeking an experienced AI Engineer to design and scale AI-powered features for our virtual events platform. You will work on autonomous agents at the core of MCP server and agent infrastructure, building multi-agent systems that automate complex event workflows with minimal human intervention.

You will collaborate with product and engineering teams to translate customer intents into robust agent workflows, while ensuring safety, auditability, and measurable performance across

Qualifications

  • 3+ years of AI experience.
  • Strong Python skills and shipping LLM-powered applications (agents, RAG, tool-calling).
  • Experience with multi-step or multi-agent systems, task planning and error recovery.
  • Experience with LangGraph or comparable agent orchestration frameworks and FastAPI.
  • Experience with MCP (Model Context Protocol) or similar integration patterns.

Responsibilities

  • Design and build fully autonomous AI agents for end-to-end event workflows.
  • Architect multi-agent systems using LangGraph, planner/executor patterns, and recovery logic.
  • Extend and maintain MCP server as the primary interface for agents to interact with event data.
  • Design guardrails, validation, and human-in-the-loop checkpoints for safe autonomous agent actions.
  • Build evaluation and observability pipelines to monitor agent behavior and drive iteration.
  • Own the full lifecycle of agentic features from prototyping to production monitoring.
  • Collaborate with product to translate customer intents into decomposed agent workflows.

Skills

AI experience
Python
Multi-agent systems
Retrieval/LLM tooling
Autonomy vs human-in-the-loop

Tools

LangGraph
FastAPI

Job description

vFairs is seeking an experienced AI Engineer to design and scale AI-powered features for our virtual events platform. You will work on autonomous agents at the core of MCP server and agent infrastructure, building multi-agent systems that automate complex event workflows with minimal human intervention.

You will collaborate with product and engineering teams to translate customer intents into robust agent workflows, while ensuring safety, auditability, and measurable performance across

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