> Markdown version of [/jobs/ext/3765310-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/3765310-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:** Station Group International Limited - **Location:** London, UK - **Salary:** £65,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Cloud Computing, Databases, DevOps, Python (Programming Language), PostgreSQL, Machine Learning, NoSQL, Search Technologies, SQL Databases, Data Streaming, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Fastapi, Vue.js, Event Driven Architecture, Apache Kafka, Front End Software Development, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Docker, Microservices - **Published:** October 16, 2026 - **Apply:** https://www.totaljobs.com/job/full-stack-engineer/station-group-international-limited-job108187641 ## About the Role * Core Engineering: Strong foundation in Python, REST APIs, microservices, and clean code principles. * Frontend Depth: Practical experience with React or Vue.js. * Databases & Cloud: Solid Postgres/SQL, AWS, and Docker experience (NoSQL/Terraform a plus). * Applied AI: Exposure to LLMs, RAG, or ML model integration as part of a broader engineering stack. * Must have unrestricted UK Right to Work. ## Description * Greenfield Microservices: Architect production-grade Python services (FastAPI/Flask) within an event-driven architecture. * Data Pipelines: Build relational models in Postgres, vector search, and streaming queues (Kafka/SNS/SQS). * Modern UIs: Craft responsive interfaces and dashboards in React or Vue.js. * Cloud & DevOps: Deploy containerized applications (Docker) on AWS using Terraform. * AI Integration: Build practical, production-ready interfaces for LLMs, RAG pipelines, and model endpoints into core products.