Lead software engineer (Fullstack)

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 React.js (front-end), Python (back-end), Databricks, and Azure platforms is required. Knowledge of Node.js, 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 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.

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.