Lead software engineer (Fullstack)
Lead software engineer (Fullstack)
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Job Description
Position Overview
We are looking for an experienced Full Stack Developer who has a strong experience in web application development focusing on integrating Generative AI and Agentic Application models. Proficiency in (front-end) Python (back-end) Databricks and Azure platforms is required. Knowledge of CI/CD pipelines and Terraform is beneficial. The role will work with AI engineers data scientists and software engineers to embed and deploy AI models ensuring seamless integration and performance.
Key Responsibilities
Front-End Development:
- Create responsive UIs using 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: 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:
real-time back-end services
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.
Employment Type
Full-Time
