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Title: Sr Fullstack Developer Location: St Albans, UK Responsibilities: • Experience with Playwright for Front End or end-to-end testing, • Exposure to other testing tools or frameworks, • Understanding of accessibility (WCAG) and performance best practices, • Experience working in agile or product-driven teams, • Automation & Platforms: Design, implement, and maintain automated testing frameworks and scripts., • Test Strategy: Develop test plans covering functional, integration, and user acceptance testing., • Execution & Reporting: Perform tests, monitor progress, and provide timely feedback., • Continuous Improvement: Collaborate with engineering teams to enhance automation and deployment practices., • Compliance: Adhere to QA standards, governance, and mandatory training., • Generative AI & LLM Integration - Experience in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases, embeddings, and building AI-powered automation solutions that leverage natural language understanding. Skills: Strong knowledge of manual and automated testing methods. Experience with web, desktop and mobile application testing. Proficiency in automation tools (Selenium, Playwright, Java, Python etc). ISTQB Foundation (or equivalent). Ability to work in Agile/Scrum teams and coach others in automation practices. Closing Date: 08-Jan-2025

Are you looking to kick-start a new career in Ai? We are recruiting for companies who are looking to employ our Ai Engineer Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: How It Works Step 1: Introduction to AI Start with beginner-friendly, bite-sized courses designed to build your foundational knowledge in AI. You’ll learn through interactive videos, quizzes, and tutorials covering key AI concepts and applications. Step 2: Full‑Stack AI Training Progress into in-depth training covering: Python programming for AI Data handling and processing Machine learning fundamentals Version control with Git & GitHub You’ll work on mini-projects throughout this stage, applying your new skills to practical tasks as you learn. Step 3: Certification Prepare for and pass the Microsoft AI-900: Azure AI Fundamentals exam — a globally recognised certification that proves your understanding of AI workloads and responsible AI principles, boosting your credentials with employers. Step 4: Real‑World Projects Complete two real-world AI projects assigned by your tutor to demonstrate your practical capabilities and build a professional portfolio. Once both projects are approved, you’ll be fully portfolio-ready and prepared to enter the industry. Your Career Path Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Ai role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Interested in a future-proof career in AI? Apply now, and one of our friendly advisors will reach out to guide you through the process.

Location: StAlbans, UK Responsibilities: Generative AI & LLM Integration - Experience in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases, embeddings, and building AI-powered automation solutions that leverage natural language understanding. API Development - Experience in designing and building RESTful APIs using FastAPI, Flask, or Django REST Framework for exposing AI models and automation services. Experience with API authentication (OAuth, JWT), rate limiting, error handling, API documentation (Swagger/OpenAPI), webhooks, and integrating disparate systems to create seamless automated workflows. Document Processing & OCR - Experience implementing intelligent document processing solutions using OCR technologies (Tesseract, Azure AI Document Intelligence, natural language processing for information extraction, document classification, and building end-to-end pipelines for automated document ingestion, processing, and data extraction with validation rules. Maintain web applications using Next.js and React. Implement and design responsive user interfaces using Tailwind CSS. Collaborate with Back End engineers to design, integrate, and test FastAPI. Develop and maintain Back End components in Python, ensuring robust unit testing practices using Gherkin language, Cucumber, and Playwright. Deploy and manage applications on AWS cloud infrastructure. Ensure the scalability, performance, and security of applications. Participate in Scrum ceremonies (daily stand-ups, sprint planning, retrospectives). Collaborate closely with designers, developers, and product managers to deliver features. Troubleshoot, debug, and optimize applications for maximum speed and scalability. Skills: react, nextjs, node, typescript, python, fastapi, java, springboot, Playwright, aws, docker, postgress rds, OpenAPI GPT models, Llama, RAG, vector databases Closing Date: 06-Jan-2025