> Markdown version of [/jobs/ext/1447055-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/1447055-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Engineer - **Company:** Newpage Solutions - **Location:** Bradley Stoke, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cursor (Graphical User Interface Elements), Github, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Next.js, Software Engineering, TypeScript, Test-Driven Development (TDD), Data Ingestion, GitHub Copilot, Large Language Models, Apache Spark, Fastapi, Kubernetes, Information Technology, Low Latency, Cloudflare, Machine Learning Operations, Docker, Microservices - **Published:** July 26, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/x/41882856/ ## About the Role 3+ years relevant experience building production applications using AI / agentic development approaches-full stack applications, agents, workflows, MCPs, and more.Hands-on experience with agents, not just prompted models. You have wired tools to a model and let it run multi-step using Lang Graph, AutoGen, Claude Agent SDK, OpenAI Assistants, or your own orchestration.Active, structured use of AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) with demonstrable workflows, sub-agents, skills, and innovative approaches.Strong Python or TypeScript, with OOP, SOLID, 12-factor application development, and microservice architecture. You've built Next.js applications, Fast API services, and similar.End-to-end implementation experience with vector databases, retrieval pipelines, and eval harnesses.Cloud-native deployment experience across at least one of AWS, Azure, Cloudflare, or Vercel-with Docker, Kubernetes, and GitHub Actions.A no-compromise attitude on clean code, TDD, security, observability, scalability, performance, and cost.A deep working understanding of how LLMs behave-and where they break-and how to optimize accuracy, latency, and cost.Clear writing and a willingness to reframe problems in conversation rather than wait for someone else to define them.A real, recent trail of built things: GitHub, a portfolio, side projects, indie tools, or OSS contributions.A founder's mindset and genuine appetite for ambiguous, high-impact technical challenges.Bachelor's or Master's in Computer Science, Machine Learning, or a related technical discipline.Bonus Skills / ExperiencePublic writing, talks, or threads about building with AI.MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker).Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue).Healthcare or life sciences domain exposure.AWS Professional certification or other relevant industry certifications. What We Offer ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [The Data Phoenix: The future of the Internet and the Open Web](https://www.wearedevelopers.com/videos/1116-the-data-phoenix-the-future-of-the-internet-and-the-open-web) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)