Live opening · Posted 7 days ago
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ABOUT THE ROLE : We are seeking a high-caliber Lead AI Engineer / AI Team Lead with 7–9 years of deep engineering experience to architect and lead the delivery of next-generation agentic workflows, autonomous multi-agent systems, and scalable enterprise AI solutions. In this role, you will define the core technical architecture, mentor junior AI engineers, and bridge modern Generative AI frameworks with production-grade enterprise software.
KEY RESPONSIBILITIES
Agentic Architecture & Orchestration: Lead the technical architecture of complex, autonomous multi-agent state machines and directed workflows using LangGraph, LangChain, and asynchronous Python design patterns.
Enterprise Automation Pipelines: Oversee and scale robust API-driven automation infrastructure with n8n and microservices, securely interfacing LLMs with enterprise applications (Slack, Google Workspace, CRM, ERPs).
Advanced RAG & Knowledge Engineering: Architect high-performance, low-latency Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases (Pinecone, Qdrant, Weaviate), advanced chunking, hybrid search, and semantic rerankers.
Prompt & Schema Governance: Establish enterprise best practices for schema validation (Pydantic / Toolcalling), deterministic JSON structured outputs, and systematic prompt optimization to eliminate hallucinations.
LLMOps, Tracing & Evaluation: Set up automated evaluation benchmarks (accuracy, latency, cost metrics) and comprehensive observability pipelines using LangSmith, Phoenix Tracing, or OpenTelemetry.
Technical Mentorship & Governance: Lead sprint planning, conduct architecture reviews, enforce code quality standards, and provide direct technical mentorship to Associate and Junior AI Engineers.
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