Python AI Tech Lead

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