Full Stack Engineer – AI/ML

We are seeking a talented and experienced Full Stack Engineer – AI/ML to join our innovative team. The ideal candidate will possess strong capabilities in both frontend and backend development, with a focus on React and Python technologies. This role also demands hands-on experience integrating AI/ML models, working with telemetry/observability tools, and contributing to simulation modelling and scalable system design. You'll work closely with cross-functional teams to build intelligent, high-performance web applications that drive impactful solutions.

Key Responsibilities:

• Design, develop, and maintain scalable full-stack web applications using React (frontend) and Python (backend).
• Build and integrate RESTful APIs and microservices for AI-enabled platforms.
• Collaborate with AI/ML engineers to embed machine learning models into production systems.
• Use telemetry and observability tools to monitor and optimize system performance and user experience.
• Contribute to simulation modelling efforts for testing, optimization, and model validation.
• Diagnose and fix bugs, performance issues, and production bottlenecks.
• Participate in code reviews, unit testing, and CI/CD workflows to ensure code quality and reliability.
• Ensure security, scalability, and performance across the technology stack.
• Write clean, modular, and maintainable code with comprehensive documentation.
• Work collaboratively in agile teams, aligning with designers, DevOps engineers, and data scientists.

Technical Skills & Experience

• Proficiency in React.js, JavaScript, and/or TypeScript.
• Experience with state management libraries such as Redux or Recoil.
• Strong knowledge of responsive UI design using HTML5, CSS3, and SCSS.
• Familiarity with UI frameworks like Tailwind CSS or Bootstrap.
• Experience with frontend testing tools like Jest or React Testing Library.
• Strong hands-on experience with Python and backend frameworks like FastAPI, Django, or Flask.
• Solid understanding of REST API design, development, and integration.
• Awareness of web application security best practices (e.g., OWASP Top 10).
• Experience working with machine learning models and deploying them in real-world applications.
• Familiarity with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Exposure to telemetry and observability tools like Prometheus, Grafana, OpenTelemetry, or Sentry.
• Understanding of observability concepts, including metrics, logs, and tracing.
• Experience with simulation modelling using tools like SimPy, AnyLogic, or custom Python-based logic.
• Familiarity with unit testing frameworks such as PyTest or unittest.
• Experience working with CI/CD pipelines using GitHub Actions, GitLab CI, or Jenkins.
• Proficient in Git and version control workflows.
• Experience with Docker and containerized application deployment.
• Hands-on experience with databases like MySQL, PostgreSQL, and MongoDB.
• Experience integrating with Java-based services or multilingual backend systems.
• Exposure to cloud platforms like AWS, GCP, or Azure.
• Ability to integrate or build data visualizations using tools such as D3.js or Chart.js.

Soft Skills & Attributes

• Strong problem-solving and analytical mindset.
• Excellent communication and team collaboration skills.
• Ability to take ownership and drive tasks independently.
• A keen interest in emerging technologies and a proactive learning attitude.
• Experience working in agile, cross-functional teams.
• Ability to mentor junior developers or lead feature-level efforts.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline.
• 2-8 years of hands-on experience in full-stack development with AI/ML exposure.