Lead AI Engineer

Location

Lahore, Punjab, PK

vFairs is looking for an experienced Lead AI Engineer to help us build and scale AI-powered features within our virtual events platform. You'll work at the intersection of our core product and our AI agent infrastructure — designing, building, and shipping intelligent features that make events more engaging and easier to run for organizers and attendees alike.

You'll join a small, high-leverage AI team at the center of that shift — the team responsible for the agents and AI-driven tooling behind our MCP server and support experiences today, and for the autonomous, customer-facing agents we're building next. This isn't a team bolted onto the side of the product: the agents you build will become one of the primary ways customers interact with vFairs, doing in minutes what currently takes an event organizer hours of manual setup.

• Drive the vision and architecturefor fully autonomous AI agents capable of planning, sequencing, and executing multi-step workflows to build out complete customer events (sessions, booths, speakers, content) with minimal human intervention.- Establish multi-agent architectural standardsusing LangGraph across the engineering org, defining production-grade patterns for planner/executor models, task decomposition, sub-agent delegation, and graceful failure recovery.- Architect and govern our MCP (Model Context Protocol) infrastructure, establishing long-term strategy, security standards, and expansion patterns for how agentic systems interface with vFairs event data.
• Define enterprise-grade safety standards, designing systemic guardrails, automated validation pipelines, and human-in-the-loop checkpoints to ensure all autonomous agent actions remain safe, reversible, and fully auditable.- Establish company-wide evaluation frameworksto benchmark agent accuracy, drift, hallucination rates, cost, and latency, using data-driven insights to guide technical investment and iteration.
• Lead the full lifecycle of agentic features, setting best practices for moving capabilities from R&D prototypes to hardened, production-ready microservices.- Mentor and grow the engineering team, conducting architecture reviews, setting coding standards for AI services, and raising the overall AI literacy across the department.
• Partner with Product and Executive leadershipto translate high-level business vision ("build my event") into a multi-quarter AI roadmap, balancing push-the-envelope autonomy with predictability and customer trust.- Lead cross-functional integration strategywith core engineering leads (PHP/Laravel/Vue) to seamlessly weave AI services into legacy application architectures and define how agentic actions surface in the user interface.
• 6+ yearsof professional software engineering experience- Hands-on productionexperience building withLangGraph(or comparable agent orchestration frameworks) andFastAPI - Experience designing multi-step or multi-agent systems— not just single-turn chat/RAG — including task planning, tool orchestration, and error recovery - Strong Python skills, with experience designing and shipping LLM-powered applications (agents, RAG, tool-calling, structured outputs)
• Experience with MCP (Model Context Protocol) or similar tool/agent-to-application integration patterns
• Experience with vector databases (e.g., pgvector, Chroma) and SQL-based retrieval strategies
• Solid understanding of LLM application architecture: prompt design, retrieval strategies, evaluation, and handling model limitations/failure modes in production
• Judgment about autonomy: knowing when an agent should act independently versus pause for human confirmation, and how to design systems accordingly
• Comfort working across the stack — from API design to deployment — and shipping features end-to-end
• Strong communication skills and ability to work cross-functionally with product and non-AI engineering teams
• Experience with PHP, Laravel, and Vue.js— our core application stack - Experience with multi-cloud infrastructure
• Background in building customer-facing chatbots or support automation
• Experience with WebSocket streaming for real-time AI interactions

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