Associate Software Applications Spec I

2 - 3 years

13 - 17 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

The AI Developer will contribute to the design, development, and deployment of AI-enabled enterprise applications using Azure AI Foundry. This role is ideal for early-career professionals eager to grow in a fast-paced, innovation-driven environment. The developer will work on real-world problems, participate in agile development cycles, and help operationalize AI models in production systems.

 

Principal Job Duties Responsibilities

  • Develop and integrate AI/ML models into enterprise applications using Azure AI Foundry.
  • Collaborate with the Systems Architect and development team to implement scalable and secure AI solutions.
  • Assist in designing cloud-native applications with a focus on performance, reliability, and maintainability.
  • Contribute to the development of multi-agent systems and intelligent workflows.
  • Participate in code reviews, testing, and deployment activities.
  • Support the implementation of MLOps and GenAIOps practices for model lifecycle management.
  • Help maintain documentation, versioning, and traceability of AI components.
  • Stay current with emerging AI technologies and contribute to continuous improvement initiatives.

Basic Job Requirements

  • bachelors degree in Computer Science, Engineering, or a related field.
  • 2 3 years of professional experience in software development.
  • Demonstrated experience with AI/ML projects (academic, professional, or open-source).
  • Strong problem-solving skills and eagerness to learn.
  • Excellent communication and collaboration abilities.

Other Job Requirements

 
Preferred Qualifications
 
AI Cloud Development
  • Experience implementing AI/ML models using Python, C#, JAVA or similar languages.
  • Preferred: Software development experience in .NET C# and/or Python.
  • Familiarity with Azure AI services (eg, Azure Machine Learning, Cognitive Services).
  • Understanding of MLOps pipelines and responsible AI practices.
Cloud Systems
  • Basic knowledge of Azure cloud services, including compute, storage, and networking.
Development Tooling
  • Proficiency in software development best practices, including version control (Git), CI/CD, and agile methodologies.
  • Experience with REST APIs, data pipelines, and integration frameworks

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