Full Stack Python Developer with AI experience

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.