Gen AI .Net Full Stack Sr. Software Engineer – F2 Band
Must Have Skills:
1. Excellent communication and analytical skills
2. 3–4 years of professional experience in software development.
3. Strong hands-on experience in .NET 6+ with C# for backend development.
4. Working experience of minimum one of the modern frontend frameworks: Angular, React, Vue etc.
5. Working knowledge of cloud platforms (AWS or Azure) and cloud-native development concepts.
6. Good knowledge of RDBMS / No SQL / Graph concepts and able to write queries or through ORM Layer (Entity Framework / LINQ)
7. Good understanding of REST APIs, Microservices, authentication/authorization.
8. Hands-on experience integrating AI/ML solutions into applications.
9. Experience with Git, branching strategies, CI/CD pipelines, and DevOps best practices.
10. Expertise in writing high-quality, secure, and maintainable code using design patterns and best practices.
11. Strong skills in debugging, troubleshooting, and improving application performance.
12. Understanding of software engineering best practices, including SOLID principles, design patterns, and unit testing using any framework like NUnit/XUnit/Playwright etc.
13. Knowledge of security best practices
Must Have Technologies
1. .Net Framework / Core
2. C#
3. MS-SQL / Postgres
4. Angular / React / Vue.js
5. AI Agents/Tools
6. LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks
7. Azure / AWS
8. Security best practices (OWASP Guideline)
9. Machine Learning concepts and model deployment
Good to Have Skills:
1. Prior experience in containerization tools like Docker and orchestration frameworks like Kubernetes
2. Exposure to serverless components (AWS Lambda / Azure Functions)
3. Familiarity with monitoring and logging tools (CloudWatch, App Insights, Grafana, etc.)
4. Knowledge of Agile / Scrum methodology and JIRA are added advantage
5. Hands on experience leveraging AI tools in design & development
6. AWS / AZURE intermediate or professional certification
Key Responsibilities:
1. Design, develop, test, and maintain full-stack applications using .NET technologies.
2. Build responsive and user-friendly web applications using modern front-end frameworks.
3. Develop and consume RESTful APIs and microservices.
4. Integrate AI/ML models, Generative AI solutions, and intelligent automation features into enterprise applications.
5. Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar AI platforms.
6. Implement AI-powered features such as chatbots, document processing, content generation, recommendation engines, and predictive analytics.
7. Collaborate with business stakeholders, architects, data scientists, and cross-functional teams.
8. Optimize application performance, scalability, and security.
9. Participate in code reviews, testing, deployment, and production support.
10. Follow Agile/Scrum development methodologies.
