Full Stack Python Developer with AI

Must Have Technical/Functional Skills

Technical Skills

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.

Roles & Responsibilities

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.