About the Role
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.
Responsibilities
•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
Requirements
•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
Nice to Have
•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
Conditions
Competitive salary, equity participation, and comprehensive benefits.
