> Markdown version of [/jobs/ext/3585497-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/3585497-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:** Futuria - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, User Authentication, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Django Web Framework, Graph Database, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, NoSQL, OAuth, Redis, SQL Databases, Systems Integration, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Agentic-AI, Fastapi, Event Driven Architecture, LangSmith, Kubernetes, CrewAI, AutoGen, Apache Kafka, Celery, Docker - **Published:** October 5, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/full-stack-engineer/50453165 ## About the Role software. Essential: Strong experience with Python and proficiency in FastAPI or Django Proven experience building secure, enterprise-grade, public-facing software in an agile delivery environment Familiarity with SQL and NoSQL databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) ## Description with a focus on reliability Develop, test, and deploy LLM-based applications in secure, production-ready environments Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality Perform data and prompt engineering to optimize model performance and outputs Optimize applications for performance, scalability, and security Collaborate cross-functionally with engineering, product, and AI teams to deliver high-impact features About You We're seeking an experienced full-stack engineer with a strong foundation in Python back-end development and the versatility to work across the stack. You're passionate about building scalable, intelligent systems and thrive in fast-moving environments where experimentation and iteration are the norm. Comfortable bringing structure to ambiguity and collaborating across disciplines, you're motivated by the opportunity to build meaningful, production-ready tools at the frontier of LLMs, agentic AI, and enterprise