Full Stack Developer

Infosys; Bengaluru; Presencial; INR 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Infosys Bengaluru seeks a skilled Full Stack Developer to design and deploy AI-enabled web applications. You will build responsive UI with React, and robust backend services using Python frameworks like FastAPI, while integrating AI features via cloud providers.

Responsibilities include creating scalable microservices, REST APIs, and rapid AI prototypes with Streamlit. You will collaborate with stakeholders to translate requirements into secure, scalable digital solutions and adhere to coding

Formación

• Experience building AI-enabled web applications using modern front-end and back-end stacks.
• Ability to deploy scalable REST APIs and microservices.
• Proficiency with React for frontend and Python (FastAPI) for backend.
• Familiarity with cloud AI services and lightweight prototyping tools.

Responsabilidades

• Design, develop, and deploy AI-enabled web applications using full stack tech.
• Build responsive interfaces with React and reusable components.
• Develop scalable backend services and microservices with Python/FastAPI.
• Create AI prototypes using Streamlit or similar tools.
• Integrate Generative AI capabilities with Azure OpenAI and Gemini models.
• Implement end-to-end AI workflows including data ingestion and validation.
• Design and optimize relational data models (PostgreSQL) for enterprise needs.
• Collaborate with stakeholders to translate requirements into secure solutions.
• Follow coding standards, version control, security guidelines, and deployment discipline.

Conocimientos

Full stack development

React

Python

AI/ML integration

REST APIs

Microservices

Streamlit

Azure OpenAI

Google Gemini

Herramientas

PostgreSQL

REST APIs

Microservices

Streamlit

Azure OpenAI

Google Cloud Gemini

Descripción del empleo

• Full Stack developer
• Design, develop, and deploy AI-enabled web applications using modern front-end, backend, database, and cloud technologies.
• Build responsive, reusable, and user-friendly interfaces using component-based JavaScript frameworks such as React.
• Develop scalable backend services, REST APIs, and microservices using Python frameworks such as FastAPI.
• Create rapid AI prototypes and internal business applications using Streamlit or equivalent lightweight app frameworks.
• Integrate Generative AI capabilities into enterprise applications using Azure OpenAI and Google Cloud Gemini-based models.
• Develop AI-powered solutions such as knowledge assistants, email/classification workflows, intelligent document processing, copilots, and decision-support tools.
• Implement end-to-end AI workflows including data ingestion, prompt design, model interaction, response handling, validation, and application integration.
• Design, develop, and optimize relational database objects using PostgreSQL for enterprise-grade application needs.
• Collaborate with business stakeholders, managers, architects, and project teams to translate requirements into secure and scalable digital solutions.
• Follow coding standards, version control practices, security guidelines, deployment discipline, and maintainable software engineering practices.