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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer - **Company:** RedCompass Labs - **Location:** Greater London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Engineering, Information Engineering, DevOps, Github, Python (Programming Language), Azure DevOps Pipelines, Software Engineering, TypeScript, ReactJS, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Fastapi, Containerization, AI Platforms, Kubernetes, Machine Learning Operations, Front End Software Development, GPT, Docker - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815455419-artificial-intelligence-engineer ## About the Role We're seeking product-centric engineers who thrive on complex challenges, rapidly acquire new technical skills, and deliver impactful AI solutions. * 5+ years of professional software engineering experience, with proven expertise developing and deploying production-grade systems. * Experience or strong interest in modern AI, agentic software development, and use of LLMs. * Strong proficiency in either Python/Typescript. * Understanding (or strong interest) in embedding models, retrieval-based AI architectures (RAG), and vector databases. * Familiarity with cloud-native software development, containerization, and orchestration technologies. * Commitment to learning and leveraging new technologies and AI tools rapidly and effectively. * A 't-shaped' engineering mindset, and a willingness to stretch into tasks such as automation testing, devops, data engineering when the work needs it., * Previous experience with multi-agent systems or complex workflow automation. * Background in fintech, banking, payments, or compliance industries. * Experience with high-performance API frameworks (FastAPI). * Core AI & LLMs: Python, LLM frameworks such as Autogen, LangChain, Pydantic-AI, etc. * Retrieval-Augmented Generation (RAG) systems and MCP servers. * Front-end: TypeScript and React ## Description We're transforming the trillion-dollar payments industry through intelligent automation. At the heart of our mission is AnalystAccelerator.ai, our proprietary multi-agent AI platform built to accelerate complex analysis in global banking and compliance. We're seeking exceptional AI Engineers to join our foundational AI Engineering team. Your role: transform cutting-edge research and prototypes into robust, production-ready AI solutions. You'll tackle sophisticated challenges within a regulated, high-stakes environment, developing scalable AI that augments human expertise., You will take proven concepts from research and turn them into production-grade, client-facing AI solutions: * Design, build, and scale sophisticated multi-agent workflows that automate complex financial analysis. * Engineer robust Retrieval-Augmented Generation (RAG) pipelines leveraging financial rulebooks, regulatory documentation, and client knowledge bases. * Develop secure, scalable backend services and APIs (primarily Python/FastAPI) deployed in Azure cloud environments. * Implement and enhance MLOps and DevOps practices, using GitHub Actions, Azure DevOps pipelines, Docker containers, and Kubernetes orchestration. * Collaborate closely with product managers, domain experts, and UX designers, converting complex business requirements into clear, impactful features. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)