Fullstack Developer

Genpact Ltd.; Bangalore Rural, Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Genpact Ltd. in Bangalore seeks a skilled Full Stack Developer with strong Python backend and Angular/TypeScript frontend experience, plus practical exposure to AI/LLM-based applications.

You will design, develop, test, and deploy scalable web apps and AI-enabled solutions, integrating REST APIs, databases, and LLMs while maintaining code quality and security, working with cross-functional teams.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/IT/Engineering.
• Proven experience delivering full-stack apps with Python and Angular/TypeScript.
• Hands-on AI/LLM-powered feature development and integration.

Responsibilities

• Design, develop, and maintain Python backends and APIs (FastAPI/Flask/Django).
• Build responsive Angular frontends with TypeScript, HTML5, CSS.
• Integrate AI/LLM features and manage prompt engineering and validation.
• Collaborate with cross-functional teams to meet milestones.
• Implement security, testing, and CI/CD across the stack.
• Troubleshoot production issues and optimize performance.

Skills

Python

Angular

TypeScript

REST APIs

AI/LLM integration

Docker

Git

Cloud (AWS/Azure/GCP)

Education

Bachelor's degree in CS/IT/Engineering

Tools

FastAPI

Flask

Django

PostgreSQL

MongoDB

CI/CD

Job description

Job Title: Full Stack Developer Python, Angular & AI/LLM

Location: Bangalore

Experience: 4-10 years

Immediate joiners Preferred.

Role Overview

We are looking for a skilled Full Stack Developer with strong backend development expertise in Python, hands-on frontend experience with Angular and TypeScript, and practical exposure to AI/LLM-based application development.

The candidate will be responsible for designing, developing, testing, and deploying scalable web applications and AI-enabled solutions. The role requires a strong foundation in software engineering, REST API development, database integration, and the ability to integrate Large Language Models (LLMs) into enterprise applications.

The ideal candidate is a hands-on developer who can independently deliver features, collaborate with cross-functional teams, and translate business requirements into reliable, maintainable technical solutions.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using Python and frameworks such as FastAPI, Flask, or Django.
• Build responsive, modular, and maintainable frontend applications using Angular, TypeScript, HTML5, and CSS.
• Develop and integrate RESTful APIs, authentication mechanisms, and third-party services.
• Design and implement AI/LLM-powered application features using commercial or open-source language models.
• Integrate LLM APIs, implement prompt engineering, and develop workflows for AI-enabled business use cases.
• Work with Retrieval-Augmented Generation (RAG), embeddings, vector databases, and document retrieval pipelines where applicable.
• Implement data validation, error handling, logging, and performance optimizations across the application stack.
• Work with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or equivalent technologies.
• Develop automated unit and integration tests and participate in code reviews.
• Use Git, CI/CD pipelines, Docker, and cloud platforms to support development and deployment.
• Collaborate with product owners, business analysts, QA engineers, and other developers to deliver solutions within agreed timelines.
• Troubleshoot production issues and continuously improve application quality, security, and maintainability.

Required Technical Skills

Backend Development

• Strong programming skills in Python, including object-oriented programming, modular design, exception handling, and asynchronous programming fundamentals.
• Hands-on experience with FastAPI, Flask, or Django.
• Experience designing REST APIs, integrating external services, and implementing authentication and authorization.
• Working knowledge of SQL, database design, and ORM frameworks.

Frontend Development

• Hands-on experience with Angular and TypeScript.
• Good understanding of JavaScript/TypeScript fundamentals, component-based architecture, routing, forms, services, and dependency injection.
• Experience integrating frontend applications with backend APIs.
• Understanding of responsive design, HTML5, CSS, and frontend debugging.

AI and LLM Skills

• Practical experience integrating LLMs such as OpenAI GPT, Anthropic Claude, Google Gemini, or equivalent models.
• Understanding of prompt engineering, structured outputs, context management, and LLM response validation.
• Exposure to RAG pipelines, embeddings, vector databases, and semantic search.
• Familiarity with frameworks such as LangChain or LlamaIndex is desirable.
• Understanding of LLM evaluation, hallucination mitigation, responsible AI, and data privacy considerations.
• Ability to identify appropriate AI use cases and integrate AI capabilities into existing applications.

Engineering and DevOps

• Experience with Git and collaborative development practices.
• Familiarity with Docker, CI/CD, automated testing, and application deployment.
• Exposure to AWS, Azure, or GCP is preferred.
• Understanding of application security, secure API development, and software development lifecycle practices.

Qualifications and Experience

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Demonstrated experience delivering full-stack applications using Python and Angular/TypeScript.
• Hands-on experience building or integrating AI/LLM-powered application features.
• Strong analytical, debugging, and problem-solving skills.
• Good communication skills and the ability to work effectively with business and technical stakeholders.

Expected Outcomes

• Deliver high-quality, production-ready full-stack features.
• Build reliable Python APIs and maintainable Angular user interfaces.
• Integrate AI/LLM capabilities into business applications with appropriate validation and safeguards.
• Meet agreed development milestones, quality standards, and security requirements.
• Contribute to code quality, reusable components, documentation, and continuous improvement.