Job Post: Data & Analytics - Gen AI Engineer (Contract)
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.
Key Responsibilities & Services
- 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:
Model Lifecycle Management (MLOps):
- 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).
Data Engineering for Generative AI:
- 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.
Stakeholder & Strategic Partnership:
- 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.
...
