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Software Developer (AI Applications and Platform Engineering)

Infosys

Location

Bengaluru, Karnataka, India

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

We are looking for a Software Developer to build and enhance an AI-powered document processing platform that leverages Azure Document Intelligence, Azure OpenAI, and modern cloud technologies to extract and validate data from contracts and business documents. You will be responsible for the web application, API services, cloud integrations, and platform capabilities that transform AI models into a scalable, secure, and production-ready solution.

Roles \& Responsibilities:

  • Develop and enhance the Angular-based review application for validating and managing AI-extracted data.
  • Design and build scalable API and service layers using Python and modern web technologies.
  • Integrate applications with Azure services, cloud storage, and AI processing pipelines.
  • Drive production readiness through deployment automation, monitoring, security, and performance optimization.
  • Troubleshoot and resolve application, integration, and data integrity issues.
  • Support evaluation, CI/CD, and platform tooling used for AI model deployment and testing.
  • Maintain technical documentation, coding standards, and architectural best practices.
  • Collaborate closely with Data Scientists to operationalize AI and document extraction solutions.

Technical Requirements:

  • Strong experience in Angular (TypeScript) and modern frontend development.
  • Strong Python development experience with API frameworks such as FastAPI.
  • Good understanding of REST APIs, authentication, microservices, and application architecture.
  • Experience building testable, maintainable, and scalable applications.
  • Hands-on experience with Microsoft Azure, including Azure Storage, Azure OpenAI, Azure Document Intelligence, Azure ML, and Identity Management.
  • Knowledge of CI/CD, GitLab, DevContainers, and cloud deployment practices.
  • Experience with unit testing, integration testing, and application monitoring.
  • Exposure to C#/.NET, ASP.NET Core, LLM applications, Azure AI services, MLOps, and containerization is preferred.

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