AI Engineer - Agentic AI & LLM Platforms (Hybrid)

eFinancialCareers; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work

Competitive salary

Equity

Comprehensive benefits

Job summary

Huxley, a trading division of SThree, is recruiting an AI Engineer for a London-based, hybrid role. You will design and build agentic AI systems powering enterprise automation, with LLM workflows, memory architectures, and tool-use capabilities.

Bring strong Python, production-grade software experience, and hands-on Azure OpenAI/Azure ML. You’ll collaborate with product and engineering teams to push the platform forward in a greenfield environment.

Qualifications

• Commercial experience designing and building AI, ML, or generative AI apps.
• Strong Python engineering skills and production-grade software experience.
• Hands-on with Azure OpenAI, Azure AI Services and Azure ML.
• Familiar with LangChain, Hugging Face, PyTorch, or similar technologies.

Responsibilities

• Designing and developing agentic AI systems capable of autonomous decision-making and task execution.
• Building sophisticated LLM-powered applications, orchestration frameworks, memory architectures, and tool-use capabilities.
• Developing custom AI workflows using large language models, retrieval systems, and multi-agent architectures.
• Collaborating with product and engineering teams to embed AI into real-world business processes.

Skills

Python

Azure OpenAI

LLM architectures

Production software

Multi-agent systems

Azure Machine Learning

Prompt engineering

Tools

LangChain

Hugging Face

PyTorch

Azure AI Services

Job description

Huxley, a trading division of SThree, is recruiting an AI Engineer for a London-based, hybrid role. You will design and build agentic AI systems powering enterprise automation, with LLM workflows, memory architectures, and tool-use capabilities.

Bring strong Python, production-grade software experience, and hands-on Azure OpenAI/Azure ML. You’ll collaborate with product and engineering teams to push the platform forward in a greenfield environment.