Fullstack Developer (GenAI, .NET)

Responsibilities:

• Design, develop, test, and maintain full-stack applications using. NET technologies.
• Build responsive and user-friendly web applications using modern front-end frameworks.
• Develop and consume RESTful APIs and microservices.
• Integrate AI/ML models, generative AI solutions, and intelligent automation features into enterprise applications.
• Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar AI platforms.
• Implement AI-powered features such as chatbots, document processing, content generation, recommendation engines, and predictive analytics.
• Collaborate with business stakeholders, architects, data scientists, and cross-functional teams.
• Optimise application performance, scalability, and security.
• Participate in code reviews, testing, deployment, and production support.
• Follow Agile/Scrum development methodologies.

Requirements:

• Excellent communication and analytical skills
• 3-4 years of professional experience in software development.
• Strong hands-on experience in. NET 6+ with C# for backend development.
• Working experience of a minimum of one of the modern frontend frameworks: Angular, React, Vue etc.
• Working knowledge of cloud platforms (AWS or Azure) and cloud-native development concepts.
• Good knowledge of RDBMS / NoSQL / Graph concepts and able to write queries through ORM Layer (Entity Framework / LINQ)
• Good understanding of REST APIs, microservices, and authentication/authorisation.
• Hands-on experience integrating AI/ML solutions into applications.
• Experience with Git, branching strategies, CI/CD pipelines, and DevOps best practices.
• Expertise in writing high-quality, secure, and maintainable code using design patterns and best practices.
• Strong skills in debugging, troubleshooting, and improving application performance.
• Understanding of software engineering best practices, including SOLID principles, design patterns, and unit testing using any framework like NUnit/XUnit/Playwright etc.
• Knowledge of security best practices.
• Must-Have Technologies: . NET Framework / Core, C#, MS-SQL / Postgres, Angular / React / Vue.js, AI agents / tools, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks, Azure / AWS, security best practices (OWASP Guideline), machine learning concepts, and model deployment.

Good to Have Skills:

• Prior experience in containerisation tools like Docker and orchestration frameworks like Kubernetes.
• Exposure to serverless components (AWS Lambda / Azure Functions).
• Familiarity with monitoring and logging tools (CloudWatch, App Insights, Grafana, etc. ).
• Knowledge of Agile / Scrum methodology and JIRA is an added advantage.
• Hands-on experience leveraging AI tools in design and development.
• AWS / AZURE intermediate or professional certification.