AI Engineer (LLMs)

Salary:£90-110k

Central London

Hybrid: 1-2 days in office per week

Fintech

Responsibilities

• Oversee the E2E lifecycle of AI models, from development to deployment and monitoring.
• Build and fine-tune LLM applications, using techniques like Retrieval-Augmented Generation (RAG).
• Deploy and maintain production-grade LLM applications in a cloud environment (AWS).
• Lead technical projects, develop POCs, and contribute to innovative AI/ML solutions.
• Participate in architecture and code reviews to continuously refine quality and scalability of applications
• Stay up-to-date with the latest advancements in AI/ML operations, tools, and best practices.

Experience:

• Strong engineering/Data Science background with experience in ML techniques and algorithms.
• Experience building applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face
• Deep knowledge of generative AI methods and RAG Systems
• Familiarity with SDLC, enterprise software patterns, and front-end technologies like React and JavaScript highly beneficial
• Knowledge of OpenAI's API
• Experience building and shipping software