Gen AI Engineer

CBSbutler Holdings Limited trading as CBSbutler; Farnborough; Remote; GBP 100,000 - 125,000; Full time

Job summary

A technology consultancy is looking for Gen AI Engineers to design and deploy Generative AI models for enterprise applications. The position offers a fully remote contract with a daily rate of £500 to £530. Candidates should have experience in implementing AI/ML pipelines and integrating AI models with enterprise systems. This is an initial 6-month contract, offering flexibility and a focus on cutting-edge AI technologies.

Qualifications

• Experience in implementing AI/ML pipelines for model training and deployment.
• Familiarity with model evaluation and drift monitoring.
• Knowledge of AI ethics and governance standards.

Responsibilities

• Design, prototype, and deploy Generative AI models for enterprise applications.
• Integrate AI models with enterprise systems and APIs.
• Collaborate with architects on scalable AI service architectures.

Skills

Design of Gen AI Models

AI/ML Pipelines

RAG

Tools

MLflow

Vertex AI

Azure ML

Python

Java

Node.js

Pinecone

Weaviate

FAISS

Chroma

Job description

Data & Analytics - Gen AI Engineers x 2

+ fully remote contract

+ initially 6 months

+ £500 to £530 per day - Inside IR35

Key Skills

• Design of Gen AI Models
• RAG
• AI/ML Pipelines

The Role

• Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases.
• Build and fine‑tune LLM‑based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.).
• Apply prompt engineering, RAG (Retrieval‑Augmented Generation), and context‑aware pipelines to ensure accuracy and relevance.
• Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends.
• Collaborate with architects to define scalable and secure AI service architectures.

Required Experience / Skills

• Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML).
• Manage model evaluation, drift monitoring, and continuous improvement processes.
• Optimize inference performance and cost (e.g., model compression, quantization, API optimization).
• Ensure compliance with AI ethics, security, and governance standards.
• Prepare and curate training datasets (structured/unstructured text, images, code).
• Apply data preprocessing, tokenization, and embedding generation techniques.
• Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases.
• Partner with business stakeholders to identify and shape AI use cases.
• Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench / platform components.
• Support POCs, pilots, and full‑scale implementations with agile delivery.

If you'd like to discuss this Gen AI Engineer role in more detail, please send your updated CV to (url removed) and I will get in touch.