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.