Python AI Tech Lead

Madiff · United States · posted today ago

engineering python devops machine-learning remote jobs in united states

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About this 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