Key Responsibilities

Front-End Development :

- Create responsive UIs using React.js and modern JavaScript (ES6+).

- Use state management libraries like Redux or Zustand.

- Ensure cross-browser compatibility and optimize front-end performance.

Back-End Development :

- Develop APIs and server-side logic using Python (Flask, FastAPI, Django).

- Integrate AI models into the back-end.

- Implement secure authentication and data processing pipelines.

AI Model Integration :

- Embed pre-trained Generative AI models and Agentic frameworks.

- Optimize model inference pipelines using tools like ONNX and TensorRT.

- Ensure efficient communication between front-end, back-end, and AI endpoints.

Cloud and DevOps :

- Deploy applications on Azure using services like AKS and Azure Functions.

- Utilize Databricks for data processing and AI workflows.

- Implement infrastructure as code using Terraform.

- Set up CI/CD pipelines with Azure DevOps, GitHub Actions, or Jenkins.

Collaboration and Best Practices :

- Work with cross-functional teams to deliver high-quality solutions.

- Conduct code reviews and testing to ensure reliability and security.

Monitoring and Optimization :

- Implement monitoring using tools like Azure Monitor and Grafana.

- Optimize performance and troubleshoot issues related to AI integration and user experience.

Required skills

Front-End : React.js, JavaScript/TypeScript, HTML5, CSS3, Tailwind CSS or Material-UI.

Back-End : Python (Flask, FastAPI, Django), RESTful/GraphQL APIs, SQL/NoSQL databases.

AI Integration : Familiarity with frameworks like ONNX and TensorFlow Serving. A2A & MCP

Cloud Platforms : Azure, Databricks.

DevOps : CI/CD pipelines, Terraform, Docker, Kubernetes.

Version Control : Git (GitHub).

Good-to-Have Skills :

- Node.js, real-time back-end services

- React.js and Python

- WebSockets, serverless architectures

- Exposure to Generative AI or Agentic Applications

- About 5+ years hands-on work experience in a "Full Stack Developer" role

- Knowledge of MLOps practices.

- Experience with GraphQL.

- Understanding of security best practices for AI applications.

- Certifications in Azure or Databricks.