Python AI Tech Lead
# Python AI Tech Lead **Madiff** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Manager` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-Engineering]` `[Machine-Learning-Engineering]` `[Technical-Lead]` `[Python-Development]` `[Generative-AI-Engineering]` `[MLOps]` `[Python-Tech-Lead]` `[AI-Tech-Lead]` `[AI-Technical-Lead]` `[Lead-Python-Developer]` `[Technical-Lead-AI]` `[Python-Team-Lead]` `[Lead-Software-Engineer-Python]` `[AI-Development-Lead]` `[Lead-AI-Developer]` --- ### About the Role This is a remote position. Python / AI Tech Lead We’re looking for an experienced Python / AI Tech Lead to join our AI and Data Engineering team delivering large-scale Generative AI solutions for leading enterprises across the US and Europe. This role combines technical leadership, solution architecture, and hands-on Python development — driving the delivery of production-grade AI systems built with LLMs, embeddings, and orchestration frameworks such as LangChain and LangGraph. Requirements Responsibilities - Design and develop scalable AI-powered platforms using Python, applying advanced ML and DL principles - Lead end-to-end delivery from data ingestion to model deployment and API integration - Collaborate with cloud, data, and product teams to define architecture and implementation strategy - Mentor engineers, perform code reviews, and ensure adherence to software delivery best practices - Drive PoCs and industrialisation of Generative AI solutions using enterprise-grade frameworks - Optimise models and infrastructure for scalability, reliability, and performance in production environments Requirements - Strong Python expertise focused on AI and data-centric systems - Deep knowledge of ML and AI frameworks (scikit-learn, PyTorch, TensorFlow, Hugging Face) - Experience integrating LLMs (OpenAI, Anthropic, Gemini) and building vector-based retrieval systems - Proficiency in prompt engineering and orchestration tools (LangChain, LangGraph, Semantic Kernel, Crew AI) - Hands-on with vector databases (Pinecone, Weaviate, FAISS, Milvus) and GenAI system design - Practical knowledge of MLOps and DevOps (Docker, Kubernetes, GitHub Actions, Azure DevOps) - Experience deploying AI solutions in cloud environments (AWS, Azure, GCP) - Solid grasp of architecture, APIs, microservices, and security standards (IAM, RBAC) - Proven leadership experience managing or mentoring engineering teams - Fluent English (C1 level) Nice to Have - Familiarity with data engineering technologies (ETL, Spark, Databricks, Delta Lake) - Experience in NLP and NLU (NER, semantic search, embedding pipelines) - Understanding of observability and monitoring (Prometheus, Grafana, MLflow) - Exposure to event-driven or serverless architectures Benefits Benefits - Competitive remuneration package - Long-term B2B contract with stable international projects - Multinational, multilingual working environment - Private healthcare coverage - Fully remote model Originally posted on Himalayas
- AI-Engineering
- Machine-Learning-Engineering
- Technical-Lead
- Python-Development
- Generative-AI-Engineering
- MLOps
- Python-Tech-Lead
- AI-Tech-Lead
- AI-Technical-Lead
- Lead-Python-Developer
- Technical-Lead-AI
- Python-Team-Lead
- Lead-Software-Engineer-Python
- AI-Development-Lead
- Lead-AI-Developer
Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).