Team Tech Lead

✨ Hiring Team Tech Lead Hiring✨ 📍 Location: Remote -India, Ukraine, Uzbek 🌐 📌Employment Type: Full-TimeAI agents and LangChain orchestrationPython/Django backend and API layerData infrastructure (MinIO, ClickHouse, Qdrant)Frontend (React, Node.js)Should be hands-on in architecture and code when needed, and strategic in leading technical design, hiring, and roadmap alignment.✍ Key ResponsibilitiesArchitecture & DesignDefine and evolve system architecture across AI, backend, and data layers.Ensure scalability, fault tolerance, and security of data pipelines and APIs.Integrate multiple data sources into a unified, queriable layer.🧑 💻 Team Leadership Lead and mentor a cross-functional team (backend, data, AI, frontend).Review code, ensure best practices in testing, CI/CD, and documentation.Collaborate with product & AI teams on roadmap priorities.🤖 AI Systems Oversee design of multi-agent frameworks (LangChain, LangGraph).Implement robust retrieval & grounding using Qdrant or other vector stores.Work with LLM engineers to optimize agent context, prompt routing, and evaluation.🪯 Data & Backend Architect APIs and data access layers around MinIO, ClickHouse, PostgreSQL, and Qdrant.Optimize pipelines for ingestion, anonymization, and compliance.Product Reliability Set up observability, monitoring, and incident management for all layers.Enforce strong security, data governance, and privacy controls.📈 Hiring & Growth Help recruit backend, data, and AI engineers as we scale.Set technical standards, onboarding guidelines, and development processes. ✍ RequirementsCore Technical Strong Python expertise — ideally with Django / FastAPI.Experience with LangChain, LLMs, or agent-based architectures. 🪩 data infrastructure:Object stores: MinIO / S3Vector databases: Qdrant / Weaviate / PineconeAnalytical DBs: ClickHouse / PostgreSQLFamiliarity with React/Node.js for managing frontend integration.Strong background in API design, microservices, and event-driven systems.experience leading AI or data-heavy product teams. 🤖 AI & DataHands-on experience building retrieval-augmented generation (RAG) pipelines.Understanding of data embedding, semantic search, chunking, and context management.Familiar with LangChain agents, memory management, and tool orchestration.Experience in secure data anonymization and compliance-ready architectures.👩 💻 Leadership & CommunicationAbility to translate business goals (e.g., compliance visibility, sentiment analysis) into technical roadmaps.Comfortable reviewing PRs, running sprint reviews, and unblocking engineers.Strong communication skills (please) with both technical and non-technical stakeholders Kindly apply through this Link 🔗 https://lnkd.in/gdBks3e8A two-minute video introduction is mandatory to proceed with the interview process.