Full Stack Python Developer with AI experience

Northern Base; Jersey City (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

Northern Base in Jersey City, NJ is seeking a seasoned Full Stack Engineer to design, develop, and maintain scalable, high-performance applications. You will build responsive UIs with React.js and implement robust backend APIs using Python, while integrating AI-driven workflows and MCP-based orchestration.

Join a distributed global team, contribute to code and design reviews, and advance RAG pipelines with cutting-edge tools like LangChain and LlamaIndex.

Qualifications

• SDLC and STLC knowledge and intersection.
• Full stack development experience.
• UI engineering with React.js, ES6+, WebSockets, OpenFin/Electron, TailwindCSS.
• Proficiency in Python or Java.
• Strong Python fundamentals: data structures, asynchronous programming, packaging.
• Experience with LangChain, LlamaIndex, agent frameworks, MCP, RAG workflows.

Responsibilities

• Design, develop, and maintain full stack applications focusing on modern, scalable, high-performance architectures.
• Build intuitive front end interfaces using React.js and modern UI practices.
• Develop backend services and APIs using Python or other OOP languages, ensuring code quality and maintainability.
• Implement AI-driven workflows using LangChain, LlamaIndex, and advanced agent frameworks.
• Integrate 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 aligned with business strategies.
• Participate in code, design reviews, testing cycles, and deployment processes across SDLC and STLC.

Skills

Full stack development

React.js

ES6+

WebSockets

OpenFin/Electron

TailwindCSS

Python

Java

Asynchronous programming

Data structures

Communication

Self-motivation

Problem solving

Global markets familiarity

Tools

LangChain

LlamaIndex

Agent frameworks

MCP Servers

RAG pipelines

Prompt engineering

Job description

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.