Python Software Engineer
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Role details
Tech stack
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Job description
We are looking for a strong Software Engineer III to join the Global Markets UI Horizontal team to help drive the AI Forward Engineering program. The candidate will be responsible for designing, building, and enhancing next-generation enterprise applications that leverage modern UI frameworks, real-time data processing, and AI-driven capabilities. This includes developing user interfaces using React/Next.js as well as backend services using Python-based frameworks to support scalable, low-latency systems. The role will focus on building AI-enabled applications using LLMs, agent-based workflows, and conversational systems, while also improving existing business-critical applications across trading, analytics, and reporting systems. The candidate will work closely with global development teams and front office stakeholders to deliver robust, scalable, and high-performance solutions. Core EngineeringStrong experience across all phases of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC)
Requirements
Core Engineering Strong experience across all phases of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) Proven Full Stack Development experience across UI and backend systems Strong analytical, problem-solving, and debugging skills Ability to work across global teams and communicate effectively with technical and non-technical stakeholders UI Development Hands-on experience with: React.js / Next.js / ES6+ Modern UI frameworks (TailwindCSS or equivalent) Experience building real-time UI applications using WebSockets or similar technologies Exposure to desktop-based UI environments such as OpenFin / Electron Ability to design scalable, performant, and reusable UI components Backend & API Development Strong programming experience in Python Hands-on experience building REST APIs using frameworks such as FastAPI, Flask, or similar Experience working with: SQL and NoSQL databases Microservices-based architectures Event-driven systems (Kafka / messaging platforms) AI / LLM & Agent Development Experience developing AI-powered applications using: LangChain / LlamaIndex Agent frameworks (tool-calling, multi-agent workflows) RAG architectures (vector databases, embeddings, retrieval systems) Experience or familiarity with: Rasa (CALM) conversational systems LLM-based application development and orchestration Exposure to Model Context Protocol (MCP) or similar tool integration frameworks Understanding of prompt engineering and context-driven AI workflows DevOps & Platform Working knowledge of: OpenShift / Kubernetes environments CI/CD pipelines (CodeBuild, CDK, or similar tools) Experience with containerized application deployment and configuration management General Skills Strong communication and interpersonal skills Ability to handle multiple priorities and work in a fast-paced environment Self-motivated, detail-oriented, and able to take ownership of deliverables Strong collaboration skills across distributed/global teams
Benefits & conditions
Experience with [strong style=”box-sizing: border-box; padding: 0px; margin: 0px; font-style: inherit; font-weight: bold; font-stretch: inherit; font-size: inherit; line-height: inherit; font-family: inherit; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; vertical-align: baseline; border: 0px none currentcolor;”]Global Markets / Trading systems / Financial products Experience building [strong style=”box-sizing: border-box; padding: 0px; margin: 0px; font-style: inherit; font-weight: bold; font-stretch: inherit; font-size: inherit; line-height: inherit; font-family: inherit; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; vertical-align: baseline; border: 0px none currentcolor;”]distributed, low-latency systems Exposure to streaming systems and real-time analytics
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