Application Developer
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