Gen AI Engineer

A Leading Technology Consulting Firm

• Job Title: Data & Analytics - Gen AI Engineer
• Contract Duration: 6 Months+
• Location: Primarily remote, with pre-agreed, company-covered travel if needed)
• IR35 Status: Inside IR35
• Start Date (Approx.): November 2025

We are seeking a highly skilled and specialized Generative AI Engineer to join a critical 6-month project focused on implementing advanced AI solutions within the commercial banking sector. This role requires specialized knowledge and expertise not currently available in-house to rapidly design, prototype, and deploy cutting-edge Generative AI models.

The Role: Gen AI Engineer

As a Generative AI Engineer, you will be a key specialist focused on the end-to-end lifecycle of generative AI models and algorithms. You will work closely with architects and business stakeholders to turn complex banking requirements into practical, scalable, and secure AI solutions.

• Design & Deployment: Design, prototype, and deploy state-of-the-art Generative AI models (e.g., LLMs, Transformers, Diffusion models) tailored for enterprise use cases.
• Application Development: Build, fine-tune, and deploy LLM-based applications such as advanced chatbots, summarization tools, document Q&A systems, and code assistants.
• Advanced Techniques: Apply sophisticated techniques like Prompt Engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to maximize model accuracy and relevance.
• Integration: Seamlessly integrate deployed AI models with existing enterprise systems, APIs, and data stores using back-end languages like Python, Java, or Node.js.
• Architecture & Strategy: Collaborate with technical architects to define scalable, secure, and cost-effective AI service architectures.
• Agile Delivery: Support POCs, pilots, and full-scale implementations using an agile delivery approach, consistently documenting designs and results for leadership.

We are looking for hands-on experience in the following core areas:

• Proven experience in implementing robust AI/ML pipelines for model training, validation, and deployment (e.g., using MLflow, Vertex AI, or Azure ML).
• Expertise in managing model evaluation, drift monitoring, and continuous improvement processes.
• Strong focus on optimizing inference performance and cost (e.g., model compression, quantization, API optimization).

• Experience in preparing and curating diverse training datasets (structured/unstructured text, images, code).
• Deep knowledge of data preprocessing, tokenization, and embedding generation techniques.
• Hands-on experience working with Vector Databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases.

• Ability to partner effectively with business stakeholders to identify, shape, and prioritize high-impact AI use cases.
• Experience contributing to a strategic AI adoption roadmap and developing reusable AI Workbench/platform components.

The successful contractor will be required to undergo a Standard Background Check (BGC) and must successfully pass a required Level 4 Pre-Employment Screening (PES) process.

Required Checks: Criminal History Check (5 years), Employment Check (5 years), Education Check, and National ID Check (UK).

Randstad Technologies is acting as an Employment Business in relation to this vacancy.