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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Platform Engineer - **Company:** UBS - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Algorithmic Trading, Data Control, DevOps, Distributed Systems, Python (Programming Language), Knowledge Management, Machine Learning, Prometheus, Search Technologies, Software Engineering, Management of Software Versions, Datadog, Software Repository, Spring Cloud, Large Language Models, Grafana, Multi-Agent Systems, Database Optimization, Prompt Engineering, Indexer, AI Platforms, Gitlab-ci, Kubernetes, Data Analytics, Splunk, Docker, Microservices - **Published:** September 1, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=b9b6b3b7d730ce7c ## About the Role * An ambitious and intellectually curious individual, keen to combine your technical experience with a clear desire to solve practical problems * 5+ years' experience in software engineering, AI engineering or machine learning engineering. * Strong Python development skills and experience building production-grade distributed systems. * Hands-on experience with LLMs, RAG, agent frameworks, prompt engineering, tool calling and context engineering. * Experience designing APIs, microservices and cloud-native applications. * Knowledge of vector search, semantic retrieval, indexing strategies and knowledge management architectures. * Experience with Kubernetes, Docker, GitLab CI/CD and modern software delivery practices. * Familiarity with observability and monitoring platforms such as Grafana, Loki, Splunk, Prometheus and OpenTelemetry. * Strong understanding of security, governance and operational controls for enterprise AI systems ## Description Are you excited by the prospect of engineering solutions in across Global Markets? Do you want to design, build and help deliver production systems across the front-office? Are you passionate about building and delivering AI solutions?, * Design and implement a Unified Knowledge Layer for AI agents, including context management, indexing, retrieval, governance and distribution strategies. * Evaluate and productionise approaches for context delivery, including MCP architectures, local retrieval models, indexed code repositories and distributed knowledge platforms. * Establish governance processes for AI skills, prompts and reusable agent capabilities, including approval, versioning and deployment standards. * Build and maintain a portfolio of AI-first APIs across platform services including our core platform components, KDB, Airflow, configuration services, observability tooling, storage platforms and alerting systems. * Develop agentic applications, including conversational assistants and autonomous support agents capable of investigating operational issues, generating incident reports and proactively notifying stakeholders. * Create reusable frameworks that enable engineering teams to deploy autonomous AI agents for use cases such as merge request reviews, remediation workflows and platform support. * Build AI-enabled analytics capabilities over engineering and operational datasets, ensuring appropriate governance, entitlements and data controls. * Define evaluation frameworks to measure AI solution accuracy, latency, cost, reliability and operational effectiveness across model and platform changes. * Collaborate closely with platform engineers, quant-developers, DevOps and operational support teams to embed AI into engineering workflows. Your Career Comeback We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback. The team * A highly technical and innovative engineering team leading automated trading in FX, eRates, eCredit, FX Derivatives, Equity Derivatives, and Cash Equities * Focused on maximising automation and performance in order to drive eTrading revenues * Operating in a highly agile manner, releasing to production multiple times per day * The team is known for being collaborative and diverse, with a mandate to deliver meaningful change ## Related Videos - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)