role-based access policies. Implement responsive, accessible, and maintainable UIs with React, Tailwind CSS, and shadcn/ui. Integrate with AI and automation frameworks (Mastra, Vercel AI SDK, OpenAI, GoogleGemini, Playwright). Ensure reliability, security, and scalability of the platform. Experience Required 5+ years of professional experience in full-stack development. Strong expertise in React and Next.js. … or similar). Understanding of authentication/authorization flows. Familiarity with automated testing and debugging complex workflows. The following is a plus Experience with AI/LLM integrations (OpenAI, GoogleGemini, or similar). Experience with LLM prompt engineering. Previous experience in SaaS platforms or workflow automation tools. Contributions to open-source projects or developer communities. Core Competencies More ❯
and why don’t you tell me what you use, I can learn too) CI/CD pipelines - AI: Prompt engineering, API integrations, AI model-powered feature development AI: Gemini, OpenAI, Co-Pilot, Claude (expertise in some or all desirable More ❯
sunderland, tyne and wear, north east england, united kingdom
AIVA Revolution
and why don’t you tell me what you use, I can learn too) CI/CD pipelines - AI: Prompt engineering, API integrations, AI model-powered feature development AI: Gemini, OpenAI, Co-Pilot, Claude (expertise in some or all desirable More ❯
Storage, Monitoring, LoggingDevOps & CI/CD tools (Azure DevOps, Terraform, Ansible, GitHub/GitLab)API and microservice architectureExperience with AI tools like Azure OpenAI, Document Intelligence, AI Search, Vertex, Gemini, Agentspaces is a plus. Preferred QualificationsExperience developing large-scale, secure, resilient, and cost-effective solutions.Hands-on experience with Kubernetes, Serverless, and Cloud Messaging.Strong analytical and problem-solving skills.Experience designing More ❯
building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases. Transformer and LLM Architectures: In-depth experience with modern Transformer-based LLMs (e.g., GPT-4, Claude, Gemini, Llama, Falcon, Mistral). Model Performance and Optimization: Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability and cost-effective performance. Programming and NLP Tooling: Advanced More ❯
Unidirectional data flow patterns (Redux, etc.). RxJS or other reactive programming techniques/libraries. GitHub, including best practices around branching strategies. Knowledge of AI technologies (OpenAI, ChatGPT 4.0, Gemini, Claude). What Makes You Stand Out: A technical expert with a personal curiosity for technology, trends, and standards-someone that other engineers want to collaborate with. Excellent communication More ❯
the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with others from Anthropic and Google Gemini. This places us at the forefront of THE most advanced technological advancements of our generation We're spearheading an unprecedented shift in how the world's asset class More ❯
in GenAI or LLM-based solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, GoogleGemini, Anthropic, Meta Llama, Hugging Face). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems More ❯
in GenAI or LLM-based solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, GoogleGemini, Anthropic, Meta Llama, Hugging Face). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems More ❯
platforms (eg Genesys, Avaya, Amazon Connect, Five9). Define and refine requirements, use cases and success criteria for RFI responses. Assess and recommend LLM/GenAI technologies (OpenAI, Anthropic, GoogleGemini, etc.) and speech AI solutions. Produce solution documentation, architecture outlines, supporting material for client presentations. Collaborate with technical and business stakeholders to ensure solution alignment with enterprise More ❯
developing, coding, architecting, and testing CNO cyber capabilities/tools and techniques within an existing customer environment and without assistance from an AI Coding Assistant (e.g., Github Copilot, ChatGPT, Gemini, etc.), and without the use of AI Developer Tools (e.g., Tabnine, Mutabale, CodeWhisperer, Replit Ghostwriter, etc). Successful candidates for this role must have critical thinking skills and problem More ❯
more creative, and uniquely suited to AI-powered development. Teach, Coach & Mentor: Serve as our foremost expert and thought leader on AI development tools such as GitHub Copilot, Claude, GoogleGemini, Cursor, and Firebase Studio . You will design and deliver coaching, run pairing sessions, provide hands-on guidance to engineers, and coach product stakeholders in new collaborative … of hierarchy. An AI Tool Expert: You have deep, practical experience and are an expert user of multiple generative AI and AI-assisted development tools (e.g., Co-pilot, Claude, Gemini, Cursor, etc.). You don't just know the features; you know how to wield them for maximum impact. A Process Pioneer: You don't just adopt new tools More ❯
problems, contribute to architecture decisions, and bring ideas from concept to production. What we're looking for: Proven hands-on experience using AI tools for software development automation (e.g. Gemini, Cloud Code, Grok Code Assist, Copilot, or similar) – this is essential, can be commercial or via personal projects. 3–7+ years of software development experience (across Python and ideally More ❯
Weston-Super-Mare, Somerset, South West, United Kingdom
La Fosse
problems, contribute to architecture decisions, and bring ideas from concept to production. What we're looking for: Proven hands-on experience using AI tools for software development automation (e.g. Gemini, Cloud Code, Grok Code Assist, Copilot, or similar) – this is essential, can be commercial or via personal projects. 3–7+ years of software development experience (across Python and ideally 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 ❯
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 ❯
london (city of london), south east england, united kingdom
HCLTech
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 ❯
call back If my phone number is not displayed here please view my LinkedIn profile 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 ❯
Employment Type: Full-Time
Salary: £90,000 - £100,000 per annum, Negotiable, OTE
Bartholomew House, Bartholomew Square, Brighton, England
INVOLVE SELECTION LIMITED
skills Problem solving skills Logical Team working Creative About the Employer INVOLVE SELECTION LIMITED Our client specialises in enterprise-level adoption of generative AI, AI assistants (e.g. Copilot or Gemini), and AI agents. Our structured roadmap ensures you harness these tools to drive immediate impact, while staying aligned with governance, compliance, and ethical considerations. Whether you’re exploring ChatGPT More ❯
Bartholomew House, Bartholomew Square, Brighton, England
INVOLVE SELECTION LIMITED
skills Customer care skills Analytical skills Team working Creative About the Employer INVOLVE SELECTION LIMITED We specialise in enterprise-level adoption of generative AI, AI assistants (e.g. Copilot or Gemini), and AI agents. Our structured roadmap ensures you harness these tools to drive immediate impact, while staying aligned with governance, compliance, and ethical considerations. Whether you’re exploring ChatGPT More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Serve Legal
Required Software Engineering: Strong in at least one modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs More ❯
educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate … . Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML: Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms (e.g., Google Vertex AI, AWS Sagemaker). Hands-on work with Generative AI, Large Language Models (LLMs), agent-based frameworks, and prompt engineering. LI-YUnleash Your PotentialWhen you join Salesforce, you More ❯
