Python Full Stack Developer – Java/React

Winzons; India; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

Lancesoft India Private Limited is seeking a Full Stack Developer to design and implement Python MCP agents, Java/Spring Boot backends, and React frontends. The role emphasizes building AI-enabled MCP-based solutions and integrating components across layers.

The ideal candidate will have 6-8 years of experience, a strong foundation in Python, Java/Spring Boot, and React, and the ability to leverage Copilot for efficient development.

Qualifications

• Full stack developer with strong Python, MCP, Java/Spring Boot and React skills.
• Experience building MCP-based Python agents and full stack applications.
• Familiarity with GitHub Copilot for code generation and productivity.

Responsibilities

• Develop Python MCP agents, automation workflows, and AI-driven components.
• Build scalable Java/Spring Boot backend services and REST APIs.
• Create responsive frontend UIs with React and modern frontend patterns.
• Collaborate with AI platform teams to integrate agents with backend and UI systems.

Skills

Python

Java

Spring Boot

React

MCP Agents

AI Development

GitHub Copilot

Education

Bachelor's Degree in CS/IT/Engineering

Tools

Gradle

REST APIs

Job description

Company Name: Lancesoft India Private Limited

Job Role: Full Stack Developer

Experience Required: 6-8 Years

Employment Type: Full-Time

Location: Bangalore, India

Qualification: Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field

Specialization: Python, Java, Spring Boot, React, MCP Agents, AI Development

Description :

We are hiring for Full stack professional with Python- MCP (Java/Springboot)

We are hiring a Full Stack Developer with strong foundations in Python, Java/Spring Boot, and React, with a specific focus on building MCP based Python agents and full stack applications using Java and React. The ideal candidate understands how to work with Model Context Protocol (MCP), AI agents, and can effectively leverage GitHub Copilot for code generation and productivity.

This role will split work across :

• Python MCP agent development
• Java/Spring Boot backend services
• React/JavaScript frontend

Python & Agent Development :

• Build, test, and extend Python-based MCP agents.
• Develop automation workflows, AI-driven components, and integrations.
• Write clean, modular Python code for tooling, services, and agent orchestration.
• Collaborate with AI platform teams to integrate agents with backend and UI systems.

Backend (Java) :

• Develop scalable microservices using Java, Spring Boot, and Gradle.
• Implement REST APIs, business logic, and service integrations.
• Write unit and integration tests using standard Java testing libraries.

Frontend (React) :

• Build and maintain responsive UIs using React, JavaScript, and modern frontend patterns.
• Work closely with designers and backend teams to deliver seamless user experiences.

AI-Assisted Development (Copilot) :

• Use GitHub Copilot effectively to :
  • a. Generate production-quality code
  • b. Suggest architectural patterns
  • c. Write unit tests
  • d.Refactor existing code
  • e. Improve development velocity

Python & MCP :

• Solid experience with Python for scripting and application development.
• Basic understanding of :
  • a. Model Context Protocol (MCP)
  • b. AI agents and agent lifecycle
• Experience building small agents or automation tasks is a strong plus.

Backend (Java) :

• Hands-on experience with :
  • a. Java
  • b. Spring Boot
  • c. Gradle
• Strong understanding of backend services, RESTful APIs, and microservice concepts.

Frontend (React) :

• Proficiency in :
  • a. React
  • b. JavaScript/TypeScript
  • c. Component-driven UI development

Testing :

• Experience with Java testing frameworks (e.g., JUnit, Mockito, AssertJ).
• Familiarity with frontend testing (e.g., Jest, React Testing Library).
• Ability to generate test code using Copilot.

AI-Assisted Coding :

• Practical experience using GitHub Copilot.
• Awareness of how to :
  • a. Prompt effectively
  • b. Validate AI-generated code
  • c. Integrate Copilot into everyday development workflows