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 (GoogleGemini 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 GoogleGemini 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 GoogleGemini to address specific business challenges. Fine-tune and optimise models for accuracy, scalability, and performance. Integrate More ❯
developer platforms, tools, and services. Hands on experience with DevOps and engineering tools (GitLab, GitHub, Azure DevOps, Docker, Kubernetes). Proficiency with AI/ML and MLOps platforms (Databricks, Google Cloud Vertex AI, SageMaker). Familiarity with generative AI technologies and frameworks (OpenAI, GoogleGemini, Hugging Face Transformers). Demonstrated success in developing and executing product strategies. More ❯
Skills and Experience: More than 3 years of experience in AI, NLP, or prompt engineering. Proven track record of designing and optimising prompts for LLMs such as ChatGPT, Claude, Gemini, or Perplexity. Strong understanding of generative AI principles, prompt chaining, context window management, and token efficiency. Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Be Doing Designing, developing, and deploying AI and LLM-based solutions in production environments Building and maintaining retrieval-augmented generation (RAG) pipelines and integrating LLM APIs (e.g. GPT, Claude, Gemini) Developing and optimising APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS More ❯
Be Doing Designing, developing, and deploying AI and LLM-based solutions in production environments Building and maintaining retrieval-augmented generation (RAG) pipelines and integrating LLM APIs (e.g. GPT, Claude, Gemini) Developing and optimising APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS More ❯
issues promptly * Pursue certifications to enhance software engineering skills Candidate Profile * Familiarity with the insurance industry * Proficiency in Python for traditional data science * Experience with generative AI tools, especially Gemini * Knowledge of cloud platforms such as Azure or GCP * Ability to interpret technical design documentation * Strong communication skills across disciplines * Experience working in Agile environments * Effective time management and More ❯
issues promptly* Pursue certifications to enhance software engineering skills Candidate Profile* Familiarity with the insurance industry* Proficiency in Python for traditional data science* Experience with generative AI tools, especially Gemini* Knowledge of cloud platforms such as Azure or GCP* Ability to interpret technical design documentation* Strong communication skills across disciplines* Experience working in Agile environments* Effective time management and More ❯
into production systems Practical knowledge of LangChain, LlamaIndex, and LangGraph for LLM orchestration and data retrieval Experience with LLM fine-tuning, prompt engineering, and API integration (e.g., OpenAI, Anthropic, Gemini) Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern CI/CD workflows Strong grasp of software engineering best practices, including testing, version control, and scalable architecture More ❯
into production systems Practical knowledge of LangChain, LlamaIndex, and LangGraph for LLM orchestration and data retrieval Experience with LLM fine-tuning, prompt engineering, and API integration (e.g., OpenAI, Anthropic, Gemini) Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern CI/CD workflows Strong grasp of software engineering best practices, including testing, version control, and scalable architecture More ❯
Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich More ❯
Lex*: Designed for natural language understanding and integrates seamlessly with other AWS services. * *IBM Watson Assistant*: Offers robust customization capabilities and supports multiple languages. * IBM Watson Discovery * Chat GBT * *Google Dialogflow*: Provides powerful NLP features and allows bidirectional interactions. * *Gemini*: Google’s innovative chatbot with multimodal capabilities. * *Opera*: Aria, the chatbot integrated into the Opera Browser, offers More ❯
ways. Role Overview As a Full Stack Commerce Engineer Manager , you will: Lead client-facing engagements and design AI-powered solutions. Build full-stack applications integrating Generative AI (OpenAI, GoogleGemini, Nvidia). Architect data flows across enterprise platforms (DAM, PXM, CDP, CMS, CRMs). Work with cloud platforms (Azure/GCP) and advanced databases (SQL/NoSQL More ❯
ways. Role Overview As a Full Stack Commerce Engineer Manager , you will: Lead client-facing engagements and design AI-powered solutions. Build full-stack applications integrating Generative AI (OpenAI, GoogleGemini, Nvidia). Architect data flows across enterprise platforms (DAM, PXM, CDP, CMS, CRMs). Work with cloud platforms (Azure/GCP) and advanced databases (SQL/NoSQL More ❯
enablement, or internal communications Knowledge of AI ethics, compliance frameworks, or responsible AI guidelines Experience designing and optimizing prompts for large language models or generative AI platforms (e.g., OpenAI, GoogleGemini, Adobe Firefly), ideally including proprietary in-house models. Familiarity with change management frameworks to effectively manage transitions and drive adoption, a plus. What's In It for More ❯
and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector More ❯
and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector More ❯
deploy scalable GenAI solutions that connect people and intelligent systems in new ways. ?? What Youll Do Design, test, and refine prompts for leading LLMs (GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of-Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex … of ethical AI, bias mitigation, responsible AI principles. Bachelors or Masters degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL More ❯
high net worth insurance offering. Required skillset: 5+ years professional experience in Data science related roles Insurance industry exposure (must have) Python for traditional data science Generative AI experience (Gemini preferred) Cloud platforms: Azure and/or GCP Agile methodology familiarity Strong communication and stakeholder engagement Contract length - 6 months (Possibility for extension) Location - London (hybrid - 2 days in More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
high net worth insurance offering. Required skillset: 5+ years professional experience in Data science related roles Insurance industry exposure (must have) Python for traditional data science Generative AI experience (Gemini preferred) Cloud platforms: Azure and/or GCP Agile methodology familiarity Strong communication and stakeholder engagement Contract length - 6 months (Possibility for extension) Location - London (hybrid - 2 days in More ❯
experienced AI engineer with strong software development foundations and an appetite for ownership in a fast-moving start-up environment. Tech & Tools You’ll be working with: LLMs: ChatGPT, Gemini, and other models via a switching system. Database: Supabase and vector databases for memory and user data handling. Backend & Infrastructure: Python, Node.js, or equivalent. Frontend Collaboration: Understanding of app More ❯
generative AI models and implementations. Create and maintain documentation for generative AI models and their applications. Communicate complex technical concepts and findings to non-technical stakeholders. Qualifications: Experience with GoogleGemini LLM and GCP cloud infrastructure. Strong understanding of LLM capabilities and limitations. Background of solution development in cloud infrastructure. Experience with optimizing Gen AI prompts for performance More ❯
modern frameworks Experience with vector databases and embeddings Strength in LLM fine-tuning or multimodal reasoning Proven ability to ship full-stack products fast Strong Python skills Experience using Gemini would be preferred The Culture Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter. More ❯
ASAP on the number provided within this advert. I answer all calls or call back The Role Join a global leader in digital experience as we launch our new Gemini-powered AI platform. We're building a new team in London and hiring for a Senior Forward Deployed Engineer to help enterprise clients unlock the full power of LLM More ❯
