HiringCafe
Posted 6mo ago

Python AI Tech Lead

@ Madiff
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United States
RemoteFull Time
Responsibilities:lead design, mentor engineers, deploy models
Requirements Summary:Lead design and development of AI platforms using Python; end-to-end delivery; leadership and mentoring; experience with LLMs, LangChain/graph frameworks; cloud, MLOps, and security.
Technical Tools Mentioned:Python, PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LangGraph, Semantic Kernel, Crew AI, Pinecone, Weaviate, FAISS, Milvus, Docker, Kubernetes, GitHub Actions, Azure DevOps, AWS, Azure, GCP, IAM, RBAC
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Job Description



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