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Application Developer


Job Location:

Pune - India

Monthly Salary: Not provided by the employer
Posted: 30 September 2026 (8 days ago)
Application Deadline: 28 December 2026
Vacancies: 1 Vacancy

Job Summary

AI Application Developer
  • Formulates and defines system scope and objectives.
  • Responsible for program design coding testing debugging and documentation.
  • Technical knowledge and responsibility of all phases of applications systems analysis and programming.
  • Understands the business or function for which application is designed.
  • Continually learn about new technologies generate new ideas and improve the use of modern technologies across our application portfolio.
  • Utilize strong technical competencies and expertise to identify analyse and troubleshoot any production issues and maintain procedures that meet business user expectations.
  • Work closely with cross-functional teams & development teams to understand and provide automated solutions/fixes.
  • Participate in SCRUM events and complete assigned items within the determined Sprint target.
  • Meet with key stakeholders and follow up with action items for any workarounds necessary as per the nature of the requirements.
Qualifications and Requirements
Essential qualifications
  • Bachelor¹s or Masters Degree in Computer Science / Electronics or related field
  • 1-3 Years total experience in IT related fields or through Internships
  • Excellent communication verbal and written skills with the ability to communicate technical information to a non-technical audience.
Key competencies
  • .NET Development
    • Proficient in designing developing and deploying scalable enterprise applications using framework Core.
    • Skilled in implementing RESTful APIs microservices architecture and integrating third-party services to enhance application functionality.
    • Strong understanding of C# MVC Entity Framework and LINQ for building robust backend systems.
  • Semantic Kernel
    • Hands-on experience with Microsoft Semantic Kernel for integrating AI capabilities into applications using planner memory and skill modules.
    • Developed intelligent agents and workflows by orchestrating prompts and skills to enable contextual decision-making and automation.
    • Applied Semantic Kernel to bridge traditional programming with LLMs enhancing productivity and user experience in enterprise solutions.
  • Generative AI (GenAI)
    • Expertise in leveraging GenAI models (e.g. OpenAI Azure OpenAI) to build intelligent solutions for content generation summarization and conversational interfaces.
    • Integrated GenAI into business applications to automate repetitive tasks improve customer engagement and drive innovation.
    • Familiar with prompt engineering model fine-tuning and ethical considerations in deploying GenAI solutions at scale.

Required Skills:

.netgenai