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

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  Design and develop scalable AI-powered platforms using Python, applying advanced ML and DL principles

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  Lead end-to-end delivery from data ingestion to model deployment and API integration

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  Collaborate with cloud, data, and product teams to define architecture and implementation strategy

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  Mentor engineers, perform code reviews, and ensure adherence to software delivery best practices

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  Drive PoCs and industrialisation of Generative AI solutions using enterprise-grade frameworks

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  Optimise models and infrastructure for scalability, reliability, and performance in production environments

Requirements

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  Strong Python expertise focused on AI and data-centric systems

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  Deep knowledge of ML and AI frameworks (scikit-learn, PyTorch, TensorFlow, Hugging Face)

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  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)

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  Hands-on with vector databases (Pinecone, Weaviate, FAISS, Milvus) and GenAI system design

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  Practical knowledge of MLOps and DevOps (Docker, Kubernetes, GitHub Actions, Azure DevOps)

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  Experience deploying AI solutions in cloud environments (AWS, Azure, GCP)

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  Solid grasp of architecture, APIs, microservices, and security standards (IAM, RBAC)

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  Proven leadership experience managing or mentoring engineering teams

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  Fluent English (C1 level)

Nice to Have

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  Familiarity with data engineering technologies (ETL, Spark, Databricks, Delta Lake)

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  Experience in NLP and NLU (NER, semantic search, embedding pipelines)

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  Understanding of observability and monitoring (Prometheus, Grafana, MLflow)

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  Exposure to event-driven or serverless architectures

Benefits

Benefits

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  Competitive remuneration package

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  Long-term B2B contract with stable international projects

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  Multinational, multilingual working environment

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  Private healthcare coverage

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  Fully remote model