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описание
The client is building a proprietary AI platform from first principles, developing intelligent systems that reason, plan, and act autonomously across complex business environments. The platform is designed to power enterprise automation.
задачи
Design and develop agentic AI systems for autonomous decision-making and task execution
Build LLM-powered applications, orchestration frameworks, memory architectures, and tool-use capabilities
Develop custom AI workflows using large language models, retrieval systems, and multi-agent architectures
Collaborate with product and engineering teams to embed AI into business processes
Contribute to the architecture and evolution of a proprietary AI platform in a greenfield environment
Evaluate emerging AI technologies and help shape technical direction and best practices
требования
Commercial experience designing and building AI, machine learning, or generative AI applications
Strong Python engineering skills and experience developing production-grade software
Hands-on experience with Azure OpenAI, Azure AI Services, and Azure Machine Learning
Knowledge of modern AI frameworks such as LangChain, Hugging Face, or PyTorch
Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems
Experience deploying, monitoring, and optimising AI solutions in production environments
A builder’s mindset and a passion for solving complex technical challenges from first principles
Ability to commute to a London office once per week
Будет плюсом: AI orchestration and workflow frameworks, knowledge graph or semantic search technologies, model fine-tuning and evaluation, MLOps, CI/CD, containerisation, cloud-native deployment practices, autonomous agents and reasoning systems
условия
Competitive salary, equity participation, and comprehensive benefits