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Luxoft is seeking a senior Python & Flowable engineer to join a globally distributed Wealth Management AI Factory team. Design and implement production-grade automation using Flowable BPMN/CMMN/DMN with Python, FastAPI/Flask and AI services. Ensure reliability, security and compliance in a regulated bank environment.
Lead architecture discussions, mentor engineers and deliver end-to-end automations across DEV/UAT/PROD while collaborating with business analysts and data scientists.
You will join a globally distributed team in the Wealth Management area of a leading global bank, working in the AI Factory stream. The stream turns AI use cases into production-grade solutions that automate and improve business processes across the organisation. The team combines workflow orchestration on the Flowable platform with Python-based AI and data services. This lets processes such as client servicing, document handling, approvals and operational workflows be partly or fully automated, with human-in-the-loop control where needed. Everything runs in a highly regulated environment, so reliability, auditability, security and compliance are key. We are looking for a senior Python & Flowable Engineer who wants to bring AI capabilities into real business processes and help shape the technical direction of the stream.
Experience with LLM frameworks and patterns (e.g. LangChain, RAG, prompt engineering)Experience with Flowable Work / Flowable Design, including Flowable AI featuresContainerisation and deployment on KubernetesCloud experience, ideally Microsoft Azure (including Azure OpenAI)Messaging and event-driven integration (Kafka, JMS/MQ)Experience in banking or wealth management, ideally with process automation or AI use cases