Full Stack Python Developer

· Design, develop, and maintain full-stack applications with a focus on modern, scalable, and high-performance architectures. · Build intuitive and responsive front-end interfaces using React.js and modern UI engineering practices. · Develop backend services and APIs using Python or other OOP languages, ensuring code quality, reusability, and maintainability. · Implement AI-driven workflows using LangChain, LlamaIndex, and advanced agent frameworks. · Integrate or develop Model Context Protocol (MCP)-based components for enhanced model orchestration. · Develop and optimize RAG pipelines, embedding engines, and prompt engineering strategies for production-grade AI solutions. · Collaborate with distributed global teams to deliver high-quality software solutions aligned with business and technology strategies. · Participate in code reviews, design reviews, testing cycles, and deployment processes across SDLC and STLC stages. · Analyze complex business requirements, propose technical solutions, and ensure system scalability and reliability. · Work closely with stakeholders in Global Markets to understand domain-specific use cases and embed financial context into the platform.

· Strong experience across all phases of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC), with a solid understanding of how they intersect. · Proven Full Stack Development experience. · Hands-on UI engineering using: o React.js o ES6+ o WebSockets o OpenFin/Electron o TailwindCSS o Modern front-end build and tooling frameworks · Proficiency in at least one Object-Oriented Programming Language (e.g., Python, Java). · Strong foundational knowledge of Python, including: o Data structures o Asynchronous programming o Modern Python packaging standards · Experience with modern AI application patterns, including: o LangChain / LlamaIndex pipelines o Agent frameworks (OpenAI ADK agents, multi-tool agents, function-calling agents) o Building or integrating with MCP Servers (Model Context Protocol) o Implementing Retrieval Augmented Generation (RAG) workflows and prompt engineering best practices. Functional Skills · Excellent communication skills with the ability to work effectively across global, cross-functional teams. · Highly motivated self-starter with strong organizational capabilities and the ability to drive tasks independently. · Strong problem-solving and analytical abilities. · Exposure to Global Markets and financial asset classes.