GenAI Engineer (Google Gemini Specialist)

Join a forward-thinking team building the next generation of Generative AI applications using Google Gemini. This 6-month contract offers the chance to architect and deploy LLMs at scale on GCP, driving performance, efficiency, and innovation. You'll play a hands-on role in model development, optimisation, and integration - helping to deliver robust, production-ready AI solutions across enterprise-level platforms. Job Title: GenAI Engineer (Google Gemini Specialist) Contract Details: 6-Month Contract | Hybrid (London) | Rate Dependent on Experience | Inside IR-35 Job Summary: We're seeking an experienced GenAI Engineer with expertise in Google Gemini to join our client on a 6-month project at the forefront of Generative AI. This role offers the opportunity to design, build, and deploy cutting-edge AI models within a Google Cloud Platform (GCP) environment, contributing directly to the development of innovative, production-grade AI solutions. Key Responsibilities: • Design, develop, and implement Generative AI models using Google Gemini to address specific business challenges. • Fine-tune and optimise models for accuracy, scalability, and performance. • Integrate AI capabilities into existing systems, ensuring seamless deployment and operational stability. • Collaborate with data scientists, AI engineers, and product teams to deliver end-to-end AI applications. • Oversee model monitoring and retraining to maintain reliability and mitigate bias. • Support the design and architecture of ML and GenAI platforms for large-scale deployment. • Stay current with emerging AI technologies and Google's evolving ecosystem to drive continuous innovation. • Produce technical documentation and provide guidance to key stakeholders. Skills & Experience: • 5+ years in Data Science or Machine Learning Engineering, with a focus on Generative AI. • Proven experience building ML or GenAI platforms end-to-end. • Hands-on expertise with Google Gemini and associated GCP AI/ML tools. • Strong programming ability in Python, with frameworks such as TensorFlow and PyTorch. • Experience migrating models from Dataiku (or similar platforms) into Google Cloud environments. • Knowledge of MLOps, model monitoring, data drift, and concept drift. • Understanding of AI bias mitigation, governance, and responsible AI practices. • Background in Financial Services or Insurance is advantageous. Desirable: • Google Cloud AI/ML certifications. • Experience working with multi-modal AI models (text, image, audio). • Awareness of AI ethics, governance frameworks, and secure deployment standards. Desired Skills and Experience Proven experience in AI/ML engineering with a strong focus on Generative AI and Large Language Models (LLMs). Hands-on expertise with Google Gemini and Google Cloud Platform (GCP) services. Skilled in designing and building scalable ML Platforms for production-level AI applications. Experience migrating models from Dataiku or similar tools into GCP environments. Proficient in Python, TensorFlow, and PyTorch for model development and deployment. Strong understanding of MLOps, model monitoring, data drift, and concept drift detection. Capable of implementing guardrails for responsible AI, focusing on bias mitigation, security, and governance. Background in Financial Services or Insurance sectors, applying AI to complex business problems. Familiar with AI ethics, AI governance, and multi-modal applications (text, image, and audio). Excellent collaboration skills - works effectively with data scientists, engineers, and product teams to drive innovation. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates