AI Team Lead (Agentic AI | LangChain | LangGraph | LLM Systems)

AI Team Lead (Agentic AI | LangChain | LangGraph | LLM Systems)About the RoleWe are seeking an experienced AI Team Lead with strong expertise in agentic AI architectures, LangChain/LangGraph, and production-grade LLM systems. You will lead the design and orchestration of intelligent AI agents that can reason over large-scale, real-time datasets and deliver highly reliable outcomes in enterprise environments.Key ResponsibilitiesArchitect, build, and deploy agentic AI systems using LangChain/LangGraph in production environmentsDevelop stateful execution graphs for multi-step reasoning, tool orchestration, and adaptive decision-makingDesign SQL- and API-based agents to serve as primary retrieval layers, reducing reliance on vector-based RAGImplement and optimize LLM routing strategies for dynamic model selection and workload balancingIntegrate and manage Guardrails frameworks to ensure output consistency, safety, and compliance across LLM workflowsEngineer metadata enrichment pipelines to improve precision, personalization, and domain relevanceLead prompt engineering and iterative model tuning efforts to reduce hallucinations and strengthen factual groundingLeverage Python expertise to design modular, production-grade AI components and maintain robust codebasesIntegrate observability, tracing, and reliability mechanisms to ensure resilience at scaleOptimize performance across latency, throughput, and inference reliabilityCollaborate on projects involving Small Language Models (SLMs), RAG (Retrieval-Augmented Generation), and PydanticAI for structured validation and runtime controlExperiment with MCP (Model Context Protocol) servers and similar orchestration backends to enhance modularity and interoperabilityLead and mentor AI/ML engineers in modern agentic system architecture and deployment best practicesConduct internal workshops and knowledge sessions on LLM system design and LangGraph workflowsQualificationsExtensive hands-on experience with agentic LLM architectures using LangChain/LangGraph (or equivalents)Strong background in building multi-step reasoning pipelines and orchestrated agent behaviorExperienced in Python development and LLM routing for production AI systemsDeep understanding of SQL-based retrieval, API agents, and vectorless reasoning strategiesKnowledge and practical experience with Guardrails for model output validationDesired hands-on experience with Machine Learning and RAG implementationsDesired experience with Small Language Models (SLMs), PydanticAI, and MCP serversExperience operationalizing observability, telemetry, and incident reduction for AI servicesStrong grounding in metadata design, retrieval optimization, and model alignment techniquesDemonstrated success in scaling LLM systems and optimizing inference performanceProven technical leadership and mentoring capabilityYou are a great fit if youBuild solutions around reasoning and autonomy, not static promptsArchitect AI as software systems, not simple wrappersThink in graph execution, tools, and stateful control flowUnderstand the balance between large and small model deployments, routing strategies, and runtime governanceLead others into the next paradigm of agent-based AI systemsLocation: Fedral B Area Block 4. Karachi