GenAi / LLM Engineer (SC Clearance)
Berkshire, Oxfordshire, England
Contract
£400 to £500 per day - Outside IR35 - Active SC Clearance is Essential
V-210304
Jonathan Courtney
Data Science and Engineering | Contract
Job Title: Generative AI/LLM Engineer (Contract)
Contract Type: 6-Month Contract (Outside IR35) / Active SC Clearance is essential
About the Role:
We are looking for a highly skilled Generative AI/LLM Engineer for a 6-month contract to deliver cutting-edge AI solutions. The role focuses on designing, implementing, and optimising large language model (LLM) applications, with a particular emphasis on Retrieval-Augmented Generation (RAG) workflows. Experience with graph networks and/or topic modeling is highly desirable to enhance reasoning and thematic understanding.
Key Responsibilities:
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Contract Type: 6-Month Contract (Outside IR35) / Active SC Clearance is essential
About the Role:
We are looking for a highly skilled Generative AI/LLM Engineer for a 6-month contract to deliver cutting-edge AI solutions. The role focuses on designing, implementing, and optimising large language model (LLM) applications, with a particular emphasis on Retrieval-Augmented Generation (RAG) workflows. Experience with graph networks and/or topic modeling is highly desirable to enhance reasoning and thematic understanding.
Key Responsibilities:
- Design and develop generative AI solutions using LLMs, incorporating RAG techniques for efficient retrieval and generation workflows.
- Leverage graph networks and topic modeling to enhance structured reasoning and thematic contextualisation in AI systems.
- Collaborate with cross-functional teams to deploy scalable AI solutions tailored to project requirements.
- Optimise LLM performance through fine-tuning, data preprocessing, and custom model architecture design.
- Proven experience in building and deploying applications with LLMs and generative AI techniques.
- Strong understanding of Retrieval-Augmented Generation (RAG).
- Hands-on expertise with graph networks and/or topic modeling techniques.
- Proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow).
- Active SC Clearance (mandatory for consideration).
- Excellent problem-solving skills and the ability to work autonomously within a fast-paced environment.